{"@context":"https://schema.org","@type":"ItemList","name":"Software Engineer Jobs - Find the Latest Software Engineering Positions","description":"Explore a variety of software engineer jobs available on our platform. Apply to software development roles in leading companies. Start your career in software engineering today.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning, Edge TPU","datePosted":"2025-08-20","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C++, Python), or 1 year of experience with an advanced degree.
2 years of experience working with machine learning/artificial intelligence.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field with an emphasis on Machine Learning/Artificial Intelligence.
Publications or research experience in deep learning.
Experience in developing, training, and optimizing machine learning models.
Experience working with any deep learning frameworks – Tensorflow, Pytorch or JAX.
Experience with accelerators or working at the hardware/software interface.
Experience with neural network architectures/design.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are looking for a Machine Learning Software Engineer to join our innovative team. Beyond technical prowess, we are looking for an adaptable individual with a naturally enthusiastic and optimistic outlook who grows up in a rapidly changing environment.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead efforts on defining, developing and training edge optimized models for generative AI, computer vision, natural language and speech use cases.
Design, build, and maintain model optimization tools and infrastructure modules needed for automating optimization and training of neural networks and architecture design space exploration.
Write modular and efficient ML training pipelines and assist in building profiling and visualization tools.
Work with EdgeTPU architects to design future accelerators, the hardware/software interface, and co-optimizations of the next generation EdgeTPU architectures.
Collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams on customize neural network architectures to accelerate the transition from research ideas to user experiences running on the EdgeTPU.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA; Kirkland, WA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-19","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation
Requires two years of experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
12. Distributed systems including sharding, consistency, and availability
13. Building highly-scalable performant solutions, AND
14. Data structures and algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$222,772/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-19","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Research, design and development of new algorithms to improve the efficiency of Meta’s platforms, Gathering data for Machine Learning training and running experiments.
Identifying potential improvements for Meta’s products.
Monitoring and reviewing current research and applying relevant research ideas towards engineering projects.

Minimum Qualifications

Master’s degree(or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, or a related field
Requires completion of a university-level course/research project/internship/thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. Build highly-scalable performant solutions
13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems, AND
15. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$229,501/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-19","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Bachelor’s degree ( or foreign equivalent degree) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Developing and debugging in C, C++, or Java
5. Scripting languages: Perl, Python, PHP, or shell scripts
6. C, C++, C#, or Java
7. Python, PHP, or Haskell
8. Software development tools: Code editors (VIM or Emacs), and debugger (gdb or DDD)
9. Linux, UNIX, or other *nix-like OS
10. Distributed systems including sharding, consistency, and availability
11. Data structures and algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
222.489 $/year to 240.240 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Design and conduct offline simulation and online AB experiments for recommendation system improvements.
Implement the features and write reliable code by using Python and C++.
Debug and resolve technical issues for the system and team.

Minimum Qualifications

Requires a Master’s degree (or foreign equivalent degree) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
1. �Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2.� Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. �Translating insights into business recommendations
4.� Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5.� Developing and debugging in C, C++, and Java
6.� Scripting languages: Perl, Python, PHP, or shell scripts
7.� C, C++, C#, or Java
8.� Python, PHP, or Haskell
9.� Relational databases and SQL
10. �Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. �Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. �Build highly-scalable performant solutions
13.� Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14.� Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
15.� Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$214,032/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree(or foreign equivalent degree) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation
Requires three years of experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark or Presto
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Software development tools: Code editors (VIM or Emacs), and revision control systems
(Subversion, GIT, or Perforce)
10. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
11. Build highly-scalable performant solutions
12. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
13. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
14. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
230.400 $/year to 240.240 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree(or foreign equivalent degree) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation
Requires three years of experience in the following:
1.� Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
2. �Translating insights into business recommendations
3.� Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
4.� Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
5.� Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction and
6. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$214,032/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving little instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 2 years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation.
Experience must include 2 years of experience in the following:
1. Filesystems, server architectures, and distributed systems
2. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
3. Translating insights into business recommendations
4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
5. Developing and debugging in C/C++ and Java
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
12. Building highly-scalable performant solutions
13. Design scalable distributed systems with established partition tolerance, consistency, and availability guarantees
14. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
15. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$195,413/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-15","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Lead the development of scalable infrastructure solutions that support the deployment and optimization of AI models for smart glasses.
Independently lead workstreams within and outside the organization, supervising other engineers and collaborating across multiple teams to solve problems of large scope.
Lead the migration of AI models to scalable platforms like PyPredictor, enhancing service scalability and reducing latency.
Develop and implement advanced model architectures, such as the encoder-perceiver-Llama3, to improve performance and enable real-time AI experiences.
Drive the development of multimodal large language models and generative AI systems, ensuring cutting-edge solutions are implemented.
Enhance query quality by developing evaluation metrics and improving processes to ensure high-quality user experiences, including prompt tuning and novel quality evaluation methods.
Deep technical understanding to lead initiatives to ensure compliance with high privacy standards, contributing to successful product launches.

Minimum Qualifications

Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, or a related field, and 1 year of experience in the job offered or a related occupation.
Requires 1 year of experience in the following:
1. Working on large-scale projects that involve multi-organizational collaboration
2. Refining and improving the performance of generative AI models in a product focused context
3. Launching a significant AI product feature end to end
4. Integrating, enhancing, and assessing generative AI models for summarization tasks, including incorporating multimodal components like images
5. Programming in Python and utilizing machine learning frameworks such as PyTorch or TensorFlow
6. Managing extensive multimodal datasets on distributed computing resources to support evaluation and improvement of text summarization features
7. Leading projects and supervising engineering teams
8. Engaging in cross-functional partnerships with a demonstrated history of delivering new products or key features and
9. Creating privacy-preserving solutions while maintaining compliance with relevant industry standards.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$218,402/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Burlingame, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-15","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art machine learning, deep learning and generative AI techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Electrical Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation
Requires three years of experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Scripting languages: Perl, Python, PHP, or shell scripts
5. Python, PHP, or Haskell
6. Relational databases and SQL
7. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
8. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
9. Build highly-scalable performant solutions
10. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
11. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
12. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
229.801 $/year to 240.240 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Software Engineer - Machine Learning","datePosted":"2025-07-02","description":"

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Team

Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management.

We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US.

The Role

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers.

You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

The work you’ll do

Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related
Determine which AI/ML approach, if any, is suited for the problem
Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches
Design and implement scalable and robust data collection mechanisms
Design and implement principled evaluation mechanisms
Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers
Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)
Design and build APIs and infrastructure to serve such data at scale and with low latency
Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.

The qualifications you need

Bachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plus
Strong communication and collaboration skills
Identify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solution
Passionate about developing scalable and efficient AI/ML solutions
Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in California, based on a Full Time Schedule. $150,100—$183,350 USD

What Celonis Can Offer You:

Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more.
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us:

Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

","hiringOrganization":{"@type":"Organization","name":"Celonis","sameAs":"https://www.celonis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redwood City, US, California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Software Engineer - Machine Learning","datePosted":"2025-07-02","description":"

The Team

We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US.

The Role

The work you’ll do

Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related
Determine which AI/ML approach, if any, is suited for the problem
Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches
Design and implement scalable and robust data collection mechanisms
Design and implement principled evaluation mechanisms
Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers
Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)
Design and build APIs and infrastructure to serve such data at scale and with low latency
Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.

The qualifications you need

Bachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plus
Strong communication and collaboration skills
Identify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solution
Passionate about developing scalable and efficient AI/ML solutions
Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in New York, based on a Full Time Schedule. $146,000—$178,000 USD

What Celonis Can Offer You:

Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business.
Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.
Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more.
Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs.
Connect and Belong: Find community and support through dedicated inclusion and belonging programs.
Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future.
Collaborate Globally: Join a dynamic, international team of talented individuals.
Empowered Environment: Contribute your ideas in an open culture with autonomous teams.

About Us:

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

","hiringOrganization":{"@type":"Organization","name":"Celonis","sameAs":"https://www.celonis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, US, New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Software Engineer - Machine Learning","datePosted":"2025-07-21","description":"

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

As a Software engineer - Machine Learning, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improve the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high-caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.

You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex machine-learning systems. You will have the opportunity to build and/or improve ML/computer vision systems. Identify where models and algorithms are failing, debug issues, propose solutions, implement, and deploy them on millions of trucks. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.

What You’ll Do:

Evaluate and improve the performance of existing models and algorithms already in production
Prototype and implement ML modules for complex AI features
Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform, i.e., the next-gen AI dashcam
Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression, and porting pipelines
Collaborate with cross-functional teams such as Embedded, Backend, Frontend, Hardware, QA, and the broader AI team to ensure the development of robust and sustainable AI systems
Build automated deployment, validation, and active learning pipelines.

What We’re Looking For:

Bachelor’s Degree in Computer Science, Electrical Engineering, or related field. A Master’s degree is a plus.
5+ years of machine learning and/or data science experience
Solid mathematical foundation in Deep Learning, Machine Learning, and optimization approaches.
Strong experience in Python or C++
Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
Prior experience with optimizing and deploying ML models on embedded devices is a strong plus

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

","hiringOrganization":{"@type":"Organization","name":"Motive","sameAs":"https://gomotive.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India - Remote","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-22","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Master’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a university- level course/research project/internship or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. Build highly-scalable performant solutions
13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems, AND
15. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$१,८५,६४४/year to $२,००,२००/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-07-22","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
Requires completion of one university-level coursework, research project or internship must include experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
5. Developing and debugging in C/C++ and Java
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
12. Building highly-scalable performant solutions
13. Distributed systems including sharding, consistency, and availability and
14. Data structures and algorithms.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$२,२४,१९७/year to $२,४०,२४०/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Software Engineer (Machine Learning)","datePosted":"2025-07-22","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer (Machine Learning) Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master's Degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Foreign equivalent accepted. Requires 2 years of experience in job offered or in a computer-related occupation or in the following:
1. Scripting languages such as Perl, Python, PHP, or shell scripts
2. C, C++, C#, or Java
3. Python, PHP, or Haskell
4. Relational databases and SQL
5. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
6. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
7. Build highly-scalable performant solutions
8. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
9. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$214,032/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-08","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep
learning techniques.
Receiving little instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires Bachelor's degree(or foreign degree equivalent)in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires education or experience in each of the following skills:
1. Filesystems, server architectures, and distributed systems
2.\tMachine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
3.\tTranslating insights into business recommendations
4.\tDeveloping and debugging in C/C++ and Java
5.\tScripting languages such as Perl, Python, PHP, or shell scripts
6.\tC, C++, C#, or Java
7.\tPython, PHP, or Haskell
8.\tRelational databases and SQL
9.\tSoftware development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
10.\tLinux, UNIX, or other *nix-like OS including file manipulation and simple commands
11.\tBuilding highly-scalable performant solutions
12.\tDesign scalable distributed systems with established partition tolerance, consistency, and availability guarantees
13.\tData processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction and
14.\tApplying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$227,339/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-09","description":"Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.Software Engineer, Machine Learning Responsibilities

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

Programming experience in a relevant language
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Demonstrated experience driving change within an organization and leading complex technical projects
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications

Masters degree or PhD in Computer Science or a related technical field
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-09","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree(or foreign equivalent degree) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:
1. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
2. Translating insights into business recommendations
3. Developing and debugging in C, C++, and Java
4. Scripting languages: Perl, Python, PHP, or shell scripts
5. C, C++, C#, or Java
6. Python, PHP, or Haskell
7. Relational databases and SQL
8. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
9. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
10. Build highly-scalable performant solutions
11. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
12. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$२,२७,३३९/year to $२,४०,२४०/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-09","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
3. Developing and debugging in C/C++ and Java
4. Scripting languages such as Perl, Python, PHP, or shell scripts
5. C, C++, C#, or Java
6. Python, PHP, or Haskell
7. Relational databases and SQL
8. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
9. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
and 10. Distributed systems including sharding, consistency, and availability

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$178,360/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Software Engineer (Machine Learning)","datePosted":"2025-08-07","description":"

Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Machine Learning Engineer to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you’ve been challenged before? Think again!

Scale: 4 million happy shoppers shop online on takealot.com and 2.7 million on Mr D. Show them what you can do.
Learn: We work with the best of the best, and then some. Work alongside industry leaders and up-skill in record time.
Grow: Expand your career in the fast-growing Takealot Group: takealot.com and Mr D. We like to promote from within: Here’s your chance.

This position reports to the respective Engineering Manager for that team.

We are looking for an experienced Machine Learning Engineer to join one of our versatile and creative development teams.

As a Machine Learning Engineer, your expertise directly translates into the development of robust machine learning models in the e-commerce domain. You come from a development background with an emphasis on applied machine learning. You will have the opportunity to implement best practices to improve the existing machine learning models and participate in the development of new ones.

This is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on Takealot.com's ambitious development roadmap.

Your responsibilities will include:

Work with a firehose of customer data.
Analyze, build, evaluate, and productionise machine learning models.
Touch all aspects of the business in your domain.
Brainstorm new ideas and concepts to solve specific use cases.
Work with teammates on design and code reviews.
Keep abreast of developments in the machine learning domain.

The skills and attributes we need:

Be creative
Be flexible
Be a team player
Be data-oriented
Take pride in your work
Be a good communicator

Qualifications & Preferred Experience:

Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).
Three (3) years’ experience applying machine learning to real-world problems.
Three (3) years’ commercial software development experience.
Strong understanding of statistical analysis, modeling, and machine learning techniques.
Strong knowledge of different types of recommendation systems.
Experience building backend systems at scale with a strong focus on data processing and machine learning.
Experience working within an agile team that is operationally hands-on and an advocate of that culture.
Experience with Python
Experience with Linux
Experience with BigQuery.
Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas.
Experience with deploying machine learning to production environments.
Data Mining and Big Data experience.

Bonus Skills and Experience:

MSc (master of science) or PhD (doctorate).
Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
Experience with Elasticsearch.
Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, or MLflow.
Experience with serving machine learning models, such as TensorFlow Serving or KServe.

Let’s talk about life @ Takealot Group

The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.
Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Upskill with free access to courses on MyAcademy, Udacity, Coursera, and more.
Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
Staff discount. Millions of products across 28 departments. What more could you ask for?
Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech, of the latest tech.
Help when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere.
Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

","hiringOrganization":{"@type":"Organization","name":"Takealot Group","sameAs":"https://takealotgroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Software Engineer (Machine Learning)","datePosted":"2025-08-07","description":"

Think you’ve been challenged before? Think again!

Scale: 4 million happy shoppers shop online on takealot.com and 2.7 million on Mr D. Show them what you can do.
Learn: We work with the best of the best, and then some. Work alongside industry leaders and up-skill in record time.
Grow: Expand your career in the fast-growing Takealot Group: takealot.com and Mr D. We like to promote from within: Here’s your chance.

This position reports to the respective Engineering Manager for that team.

We are looking for an experienced Machine Learning Engineer to join one of our versatile and creative development teams.

This is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on Takealot.com's ambitious development roadmap.

Your responsibilities will include:

Work with a firehose of customer data.
Analyze, build, evaluate, and productionise machine learning models.
Touch all aspects of the business in your domain.
Brainstorm new ideas and concepts to solve specific use cases.
Work with teammates on design and code reviews.
Keep abreast of developments in the machine learning domain.

The skills and attributes we need:

Be creative
Be flexible
Be a team player
Be data-oriented
Take pride in your work
Be a good communicator

Qualifications & Preferred Experience:

Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).
Three (3) years’ experience applying machine learning to real-world problems.
Three (3) years’ commercial software development experience.
Strong understanding of statistical analysis, modeling, and machine learning techniques.
Strong knowledge of different types of recommendation systems.
Experience building backend systems at scale with a strong focus on data processing and machine learning.
Experience working within an agile team that is operationally hands-on and an advocate of that culture.
Experience with Python
Experience with Linux
Experience with BigQuery.
Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas.
Experience with deploying machine learning to production environments.
Data Mining and Big Data experience.

Bonus Skills and Experience:

MSc (master of science) or PhD (doctorate).
Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
Experience with Elasticsearch.
Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, or MLflow.
Experience with serving machine learning models, such as TensorFlow Serving or KServe.

Let’s talk about life @ Takealot Group

The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.
Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Upskill with free access to courses on MyAcademy, Udacity, Coursera, and more.
Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
Staff discount. Millions of products across 28 departments. What more could you ask for?
Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
Right tools, right job: Mac or Windows, two monitors or one. Whatever your preference, you’ll work on the latest tech, of the latest tech.
Help when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere.
Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

","hiringOrganization":{"@type":"Organization","name":"takealot.com","sameAs":"https://www.takealot.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South Africa","addressCountry":"South Africa","addressRegion":"Africa"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-11","description":"Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.Software Engineer, Machine Learning Responsibilities

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Demonstrated experience driving change within an organization and leading complex technical projects
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications

Masters degree or PhD in Computer Science or a related technical field
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Grasp of data structures and algorithms, including graph theory and optimization techniques

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-12","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Develop, design, create, modify, and/or test software applications or systems for various products or software services.
Develop a strong understanding of relevant product area, codebase, and/or systems.
Demonstrate proficiency in data analysis, programming, and software engineering.
Produce high-quality code with good test coverage using modern abstractions and frameworks.
May be assigned to specific group focused on product or infrastructure.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills.
Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
In connection with these duties, may apply knowledge of the following: Coding in industry-standard languages like C, C++, Java, or C#
Building large-scale infrastructure applications
Creating web applications using Python, PHP, or Ruby
Relational databases and SQL
and Implementing web interfaces using JavaScript, HTML, or CSS.

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, or a related field, and 48 months of experience in the job offered or in a related occupation
Requires 48 months involving the following :
1. Creating web applications using Python, PHP, or Ruby
2. Conducting design and code reviews
3. Object-oriented software development
4. Building maintainable and testable codes bases including API design and unit testing techniques
5. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
6. Building maintainable and testable code bases, including API design and unit testing techniques
7. Linux or Unix
8. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
9. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
10. Data structures and algorithms and
11. Debugging or benchmarking

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$229,501/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-12","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range ranking, classification, recommendation, and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving little instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 36 months of experience in the job offered or a related occupation
Requires 36 months involving the following:
1. Filesystems, server architectures, and distributed systems
2. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
3. Translating insights into business recommendations
4. Developing and debugging in C/C++ and Java
5. Scripting languages such as Perl, Python, PHP, or shell scripts
6. C, C++, C#, or Java
7. Relational databases and SQL
8. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
9. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
10. Build highly-scalable performant solutions
11. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
12. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
13. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$२,३२,५०३/year to $२,४०,२४०/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-12","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, e.g.
payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation
Requires 2 years of experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
5. Developing and debugging in C/C++ and Java
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
12. Building highly-scalable performant solutions
13. Distributed systems including sharding, consistency, and availability
14. Data structures and algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
187.741 $/year to 200.200 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-15","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design and develop new algorithms and mathematical techniques to improve the efficiency and performance of Meta's platforms.
Gather data for machine-learning training and train new ranking models and run computational experiments.
Identify potential improvements in company's software and technology products through data analysis and mathematical modeling.
Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view.
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
Suggest, collect and synthesize data requirements and create effective feature technology and computer product roadmap.
Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning.
Monitor and review current academic and industrial research and apply relevant research ideas towards engineering projects through programming implementation.

Minimum Qualifications

Employer will accept a Master’s degree (or foreign equivalent degree) in Statistics, Mathematics, Computer Science, Applications, or related field and 3 years of work experience in job offered or in a computer-related occupation
Experience must include 36 months of experience in the following:
1. Python programming
2. Deep learning
3. Conducting Big data processing and analysis using modern frameworks (PySpark, Apache Spark, and Scikit-learn)
4. Solving analytical problems by developing mathematical/statistical models (Neural network, Logistic Regression, and Decision-Trees)
5. Gathering, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources
6. Communicating complex research in a clear, precise, and actionable manner and
7. Devising better data-driven models of human behavior

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$238,054/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-15","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Independently drive large scope projects related to the research, design, development of large-scale distributed systems Machine Learning Infrastructure projects.
Design and build new features and improve existing products.
Design and independently execute projects of large scope.
Push code, drive the development of the systems behind our products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe.
Develop area expertise in complex Machine Learning infrastructure systems.
Demonstrate expertise in data analysis, programming and software engineering.
Produce high quality code with good test coverage, using modern abstractions and frameworks.
Receive general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgment and problem solving skills.
Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
Actively seek and give feedback in alignment with company Performance Philosophy.

Minimum Qualifications

Requires a Bachelors degree (or foreign equivalent) in Computer Science, Distributed Systems, Machine Learning, Artificial Intelligence, or related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Coding in one of the following industry-standard languages: C, C++, C#, Python, Java, or Javascript
2. Python, PHP, or Haskell
3. Relational databases and SQL
4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
5. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
6. Core web technologies: HTML, CSS, or JavaScript
7. Building highly-scalable performant solutions
8. Distributed systems including sharding, consistency, and availability
9. Algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$214,032/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-15","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a graduate-level course, research project, or internship involving each of the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
5. Developing and debugging in C/C++ and Java
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. Build highly-scalable performant solutions
13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$184,187/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-13","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. Build highly-scalable performant solutions
13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
15. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$227,920/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Burlingame, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-13","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or in a computer-related occupation. Experience must include 1 year of experience in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
3. Deep understanding of NLP techniques and experience working with Large Language Models (LLMs), including model training, fine-tuning, or inference optimization
4. Translating insights into business recommendations
5. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. Python, PHP, or Haskell
8. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
9. Building highly-scalable performant solutions
10. Distributed systems including sharding, consistency, and availability and
11. Data structures and algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$182,000/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, Applied Sciences, or a related field. Requires
completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
4. Developing and debugging in C, C++, and Java
5. Scripting languages: Perl, Python, PHP, or shell scripts
6. C, C++, C#, or Java
7. Python, PHP, or Haskell
8. Relational databases and SQL
9. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
10. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
11. Build highly-scalable performant solutions
12. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
13. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
14. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$272,459/year to $290,180/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-16","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
5. Developing and debugging in C, C++, and Java
6. Scripting languages: Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
12. Build highly-scalable performant solutions
13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
15. Distributed systems

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$218,402/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning","datePosted":"2025-08-20","description":"Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer, Machine Learning Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications

Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems
3. Translating insights into business recommendations
4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
5. Developing and debugging in C/C++ and Java
6. Scripting languages such as Perl, Python, PHP, or shell scripts
7. C, C++, C#, or Java
8. Python, PHP, or Haskell
9. Relational databases and SQL
10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
12. Building highly-scalable performant solutions
13. Distributed systems including sharding, consistency, and availability
14. Data structures and algorithms

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$178,360/year to $200,200/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Machine Learning","datePosted":"2025-07-22","description":"

Teamwork makes the stream work.

Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the team

\n\n

Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world.

\n\n\n

About the role

\n\n\n

We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimisation, probability theory, and machine learning using both general purpose software and statistical languages.

\n\n\n

What you’ll be doing

\n\n

ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality.
Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models.
Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy.
Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters.
Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions.
Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends.

\n\n

\n\n\n

We’re excited if you have

\n\n

Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field.
Experience in applied machine learning on real use cases (bonus points for ad tech-related use cases).
Great coding skills and strong software development experience (we use Spark, Python, Java).
Familiarity with real-time evaluation of models with low latency constraints.
Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
Ability to work with large scale computing frameworks, data analysis systems, and modelling environments. Examples include Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB.
Ad tech background is a plus.

\n#LI-PS2

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

","hiringOrganization":{"@type":"Organization","name":"Roku","sameAs":"https://www.weareroku.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Machine Learning","datePosted":"2025-07-20","description":"Senior Software Engineer – Machine Learning
ABOUT EVERBRIGHTEverBright is a clean energy company on a mission to accelerate the decarbonization ofour planet. EverBright offers a full suite of financing and technology products that make clean energy accessible to anyone with an energy bill. We are a leading provider of financing for residential solar, storage, and energy efficiency products, fueling our rapid growth through innovative software solutions. We understand that the energy systems of tomorrow will be clean, distributed, and powered by advanced technology ABOUT THIS ROLEAs a Senior Software Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms that drive automated PV system design within our platform. You will be responsible for applying your software expertise to refine our innovative solar design tools and optimize energy production and consumption estimations. In addition to technical experience, you should have communication skills to effectively collaborate with other engineers on the team. You should be comfortable working in an agile development environment and have experience with agile methodologies.

WHAT YOU’LL DO· Build and improve our automated solar design tools through machine learning.· Optimize our energy production and consumption estimations.· Write automated tests.· Give constructive feedback to your peers through code review. QUALIFICATION· 7+ experience in programming languages such as Python or C/C++· Strong understanding designing, training, and deploying machine learning models.· Experience with machine learning algorithms, techniques, and libraries, such as TensorFlow, or PyTorch.· Up to date with the latest advancements in machine learning, software. engineering, and industry trends to ensure the continuous improvement of our solutions.· Strong leadership and communication skills.· Solar industry experience is a plus. WHY EVERBRIGHTWorking at EverBright is challenging and rewarding. We hire excellent people and empower them to do excellent work. We are passionate about our mission and care deeply about buildingproducts that people love. At EverBright you can expect to grow professionally, make a positive impact, work hard, have fun, be respected, feel part of a community, and be proud of your work and career. EverBright also provides generous perks and benefits, including:· Competitive Salary· 401k match· Medical, dental, vision, life, and legal insurance· Access to multiple offices around the US (Austin, TX, San Francisco, CA, & Juno Beach, FL)· EAP and mental health assistance· Discount plans through Next Era Employee portal· Health and wellbeing services· Education assistance program· Adoption assistance· Work from home tech setup","hiringOrganization":{"@type":"Organization","name":"EverBright","sameAs":"https://www.goeverbright.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Juno Beach, FL","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Machine Learning","datePosted":"2025-07-19","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in developing machine learning models such as recommender systems, pricing optimization, user modeling, or computational advertising.
Experience architecting and deploying ML systems that function efficiently at a massive scale.
Experience mentoring and leading engineers on technical projects.
Understanding of large-scale data processing frameworks such as SQL, Spark or MapReduce, Python for efficient data querying and analysis.
Excellent communication skills with the ability to convey the team's technical goal effectively to executive leadership and cross-functional stakeholders.

About the job

Responsibilities

Establish and lead the long-term technical goal for ML powered personalization, pricing and recommendation systems that scale to billions of users.
Design, develop and scale production-grade ML systems with strong emphasis on performance, reliability, debuggability and model explainability.
Serve as a technical pillar for the team by mentoring engineers, fostering their growth, providing design guidance and cultivating a culture of engineering excellence.
Identify high-impact machine learning applications to drive user growth, engagement, and business, while leading complex modeling initiatives from exploring novel algorithmic approaches for offer optimization to developing models for new product tiers.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Software Engineer (Machine Learning - MLOps)","datePosted":"2025-07-02","description":"Tesco Poland • Kraków • Full-Time • Apply by 30-Sep-2025\n\n\n\n\n\n\n About the role\n \n\nWe are looking for a Machine Learning Engineer, to join our growing Data Science Engineering team. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. This role would suit someone with previous experience working as a ML Engineer / Data Science Engineer.

About the Team:

Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco’s data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, develop data products at scale and maintain existing applications.

Our Data Science team are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimizations, Commercial Decision Support (e.g. Forecasting, Range Optimization, Supply Chain support), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimization through to deployment of solutions on the edge, cloud and big-data environments.

\n\n\n\n\n What is in it for you\n \n\nSalary:
UoP: 18 000 - 24 000 PLN gross/monthB2B: 20 000 - 27 000 PLN net/month
Hybrid working
We always welcome conversations about flexible working, so feel free to talk to us during your application about how we can support you. We value connecting, collaborating, and innovating with our colleagues in person.
At Tesco Technology, we work in a hybrid model. This role requires you to be based in or near Kraków, as we currently meet in the office 3 days a week.
Benefits
Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all of our colleagues. If you choose to join our business, we will provide you with (for all):

Permanent contract from the go – as a sign of our trust in your abilities
MacBook as your tool for work
Learning opportunities - certified technical training and learning platforms like Udemy, Pluralsight and O’reily
Referral Bonus
Sports activities with a personal trainer in the office

Benefits for colleagues on employment of contract only:

Additional 4 days of paid leave to support your well-being and family life
Up to 20% yearly salary bonus – based on both individual and business performance
Private healthcare (LuxMed)
Cafeteria & Multisport
Supporting those, who are not yet eligible for full holiday entitlement, by expanding their pool from 20 to 25 days
Relocation Help
IP Tax Deductible Costs

If that sounds exciting, then we'd love to hear from you.
Tesco is committed to celebrating diversity and everyone is welcome at Tesco. As a Disability Confident Employer, we’re committed to providing a fully inclusive and accessible recruitment process, allowing candidates the opportunity to thrive and inform us of any reasonable adjustments they may require.\n\n\n\n\n You will be responsible for\n \n\n •\tParticipating in group discussions on system design and architecture •\tWorking with product teams to communicate and translate needs into technical requirements •\tWorking alongside our Data Scientists, Software Engineers and Product teams across the software lifecycle •\tDelivering high quality code and solutions, bringing solutions into production •\tPerforming code reviews to optimize technical performance of data science solutions. •\tSupporting production systems, resolving incidents, and performing root cause analysis •\tLook for how we can evolve and improve our technology, processes and practices •\tSharing knowledge with the immediate engineering team •\tCollaborate with other teams on more complex initiatives via working groups •\tApplying SDLC practices to create and release robust software
\n\n\n\n\n You will need\n \n\nYou come from either an Engineering or Data Science background, with a good understanding of the Data Science Toolkit (Programming, Machine Learning, MLOps etc) and bringing data science solutions into production. You therefore tick the majority of the following points:
Key Requirements: •\tA higher degree in engineering, computer science, maths or science. •\tCustomer focus with the right balance between outcome delivery and technical excellence.The ability to apply technical skills and know-how to solving real world business problems. •\tDemonstrable experience of building MLOps systems according to the best market standards. •\tCommercial experience contributing to the success of high impact Data Science projects within complex organisations. •\tAwareness of emerging MLOps practices and tooling would be an advantage e.g. feature stores and model lifecycle management. • knowledge of ML workflow/orchestration platform like Airflow•\tAn analytical mind set and the ability to tackle specific business problems. •\tExperience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. •\tUse of version control (Git) and related software lifecycle tooling. •\tExperience with tooling for monitoring, logging and alerting e.g. Splunk or Grafana. •\tUnderstanding of common data structures and algorithms. •\tExperience working with open-source Data-Science environments. •\tKnowledge of open source big-data technologies such as Apache Spark. •\tExperience building solutions that run in the cloud, ideally Azure. •\tExperience with software development methodologies including Scrum & Kanban. •\tA background or strong understanding of the retail sector, logistics and/or ecommerce would be advantageous but is not required.
Unsure if you fit all the criteria? Apply and give us the chance to evaluate your potential – you could be the perfect fit!
\n\n\n\n\n About us\n \n\nTesco is a leading multinational retailer, with more than 330 000 colleagues. Our software is used by millions of people across several countries every day. Whether it’s the tills and websites our customers use, or the systems our colleagues and partners use, you’ll play your part in keeping it running like a well-oiled machine. And when a business problem pops up? You and the creative minds in our team will be challenged to solve it. As Tech Hub we cooperate within the group of Tesco Technology Hubs located in the UK, Poland, Hungary, Czech Republic and India. What our colleagues like the most at Tesco:

We develop our own products
We make an impact; large scale of operation
Accountability and respect are given to us
We cooperate and support each other
There are great colleagues who are divided into small teams here
We can develop and learn new things

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.\n
5 years of experience with software development in one or more programming languages.
3 years of experience in testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
2 years of experience building prototypes or applications using Generative AI models (e.g., using Gemini or other Large Language Models).

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.\n
Experience working cross functionally and collaboratively.
Experience bringing ML systems to production.
Familiarity with academic research in AI and machine learning.

Familiarity with academic research in AI and machine learning.

About the job

In this role, you will translate in-depth research into path-breaking tools, frameworks and techniques, sharing the results widely. Your work focuses on creating a future where technology supports everyone's feeling and ability to meaningfully shape their world. You will track emerging technologies and their adoption, translating insights into innovative applications to inspire new approaches.

Jigsaw is a unit within Google that explores threats to open societies and builds technology that inspires scalable solutions. Our team addresses a range of global security challenges including defending against digital attacks, mitigating the rise of online hate and harassment, countering extremism, and fighting censorship. Jigsaw offers mission-driven work within a nimble interdisciplinary team, connections to academia and civil society, and a quick path to taking technology public.

Because we believe the genAI era creates both an opportunity and an imperative to rethink our digital public square, we’re increasingly invested in technology to support democratic discourse.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Rapid experimentation using the latest LLM technology to enable better conversations.
Innovate on early stage products that grow from prototypes to production.
Navigate ambiguous problems, leading experiments and making clear recommendations.
Own end-to-end development of applied LLM products: identify well suited use cases, create novel evaluation techniques, prompt or train models, guide data annotation, build serving and user experience layers.
Work cross-functionally to understand the problem space.

THE CHALLENGE

Eventbrite is a people-first organization. Our goal of building the global platform for live experience relies on the foundation of top talent and strong company culture. Eventbrite is seeking an Ads Engineer to join us in our mission to bring the world together through live experiences. Last year alone, our platform processed over 150 million tickets across over 3 million events organized by our creators. Our perfect candidate will leverage their experience innovating within our consumer-facing ads product, creating value for both our event creators and consumers.

THE ROLE

Eventbrite Ads is taking off! We're expanding our team to accelerate the development of our innovative in-house ad platform. This is your chance to join a rapidly growing team at the forefront of event marketing technology and contribute to a product that's transforming the industry. Our team is currently looking for a customer-obsessed, highly collaborative, and entrepreneurial person to join our scrappy squad expanding on this revenue-generating powerhouse. You will contribute to Eventbrite engineering’s culture of technical excellence through inclusivity, knowledge sharing, and mentorship. This is more than an opportunity to join an amazing team; it is a chance to impact Eventbrite’s platform and organization at scale.

THE TECH STACK

We heavily leverage AWS technology to get the job done. On any given day you will be working with Lambdas, ECS and Fargate, Serverless Aurora, API Gateway, Terraform, Docker, Kinesis, and much more! We are committed to scalability through serverless applications where it makes sense.

THE SKILL SET

You work collaboratively with people of various skill sets
You are eager to learn from others but also practiced in self-directed learning
You know diversity is not an old wooden ship
You feel modeling great behaviors set the culture and is important to success
Practical experience working with Python in back-end applications
Familiarity with Data Science and Machine Learning basics
Familiarity with the SDLC and CI/CD pipelines
A results-driven self-starter with great communication and collaboration skills
Unit-testing know-how required; experience with TDD or BDD is an added bonus
You work with teams that are continuously delivering and automating processes, you are excited about working in a world-class SDLC environment

BONUS POINTS

Experience building in the backend of an ad platform
Experience building the backend in a reporting platform
Experience with Timestream, Elasticsearch, or Snowflake
Experience with event-driven architecture
You have experience with Machine Learning at scale
You have experience designing and developing Web APIs
You have experience with Terraform or the AWS CDK

PAY TRANSPARENCY

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Eventbrite, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is listed below. You may also be eligible to participate in Eventbrite’s incentive program(s) (such as equity, annual incentive bonus and commission plans), subject to the applicable rules and restrictions.

Pay Transparency Range (US)$74,300—$133,800 USD

ABOUT EVENTBRITE

At Eventbrite everyone is invited to be their whole self and we cultivate an environment to make sure that is feasible throughout the entirety of an individual's time at Eventbrite. We are committed to providing competitive, valuable and meaningful benefits and experiences for our employees to ensure we meet them where they are in life.

Cultivating a diverse, equitable and inclusive culture where all people are invited and belong is our top priority.

Employees can participate in resource groups and we offer global programming and training throughout the year to support a diverse and inclusive workplace. Read more about our Diversity and Inclusion work for our team, culture, and community.

BENEFITS

We offer comprehensive benefits and a wellness package above and beyond standard medical benefits to support our Britelings’ lifestyle.

Eventbrite's global benefit programs are designed to meet you where you are by offering resources and support for your health, well-being, finances, and family. This includes support in a remote environment, wellness allowance, Carrot family planning benefit, Origin Financial Planning service, and other offerings to ease the mind and body like Modern Health and BriteBreaks (generally the first Friday of every month off).

EQUAL OPPORTUNITY

At Eventbrite, we are dedicated to fostering diversity, equity and inclusion. We welcome individuals from all backgrounds, abilities and experiences to apply, and we make employment decisions on the basis of merit. We are committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender reassignment, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics, or any other legally protected characteristic.

If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know.

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About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

\n\n

About Glean:

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. Our company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Role

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.

What you will do and achieve:

Design, build, and improve ML systems and Data pipelines infrastructure
Work with and enable other ML engineers focused on modeling
Write robust code that’s easy to read, maintain, and test
Mentor more junior engineers, or learn from battle-tested ones

Who you are:

5+ years of experience
BA/BS in computer science, math, sciences, or a related degree
Experience working with ML infrastructure and engineering for search, recommendation, natural language processing, or something similar

Key knowledge and skills:

Proven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI)
Strong Experience working with Apache Spark and hands-on experience with building, scaling, and operating large batch data pipelines
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features

Benefits

Competitive compensation
Medical, Vision and Dental coverage
Flexible work environment and time-off policy
401k
Company events
A home office improvement stipend when you first join
Annual education stipend
Wellness stipend
Healthy lunches and dinners provided daily

For California based applicants:

The standard base salary range for this position is $200,000 - $280,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

","hiringOrganization":{"@type":"Organization","name":"Glean","sameAs":"https://www.glean.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Software Engineer II – Machine Learning","datePosted":"2025-08-11","description":"

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Join BETA CAE Systems, Greece, as a Software Engineer II and become part of Cadence Design Systems, the pivotal leader in mechanical and electronic systems design.

Leveraging Cadence’s Intelligent System Design strategy and BETA CAE’s innovative engineering solutions, we deliver advanced products that empower some of the world’s most forward-thinking companies across diverse industries such as consumer electronics, hyperscale computing, communications, automotive, aerospace, and healthcare.

In this role, you will contribute to shaping the future by collaborating with cross-functional teams across both companies to develop and promote impactful products and strategies. Joining us means becoming part of a dynamic and evolving environment where teamwork, innovation, and a global perspective drive our continued success and leadership in the industry.

Your day-to-day tasks will include:

Work closely with our global team of engineers and product managers in the development of new functionality and tools for our software suite
Play a vital role in the development of custom projects for our clients
Understand business requirements and think of solutions in terms of not just the coding implementation, but also a solution that will best serve the driving need
Optimize and further enhance existing tech solutions and determine the next steps in the evolution
Work on the algorithmic solving of computational problems

Qualifications you need to have:

Bachelor's/Master’s degree in Engineering, Computer Science or Software Development
Deep knowledge and experience in AI/ML, both in classical ML processes & algorithms (e.g. xgboost, dimensionality reduction, data exploration) and Deep Learning (e.g. Transformers, GNNs)
Knowledge of Linear Algebra and Numerical Analysis
Deep expertise in Python for ML, with proficiency in writing Pythonic code. Familiarity with ML libraries for Python, like TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, SciPy, etc
Strong problem solving & analytical skills, quick comprehension
Fluent written and verbal communication skills in English

Qualifications that will be considered:

Experience with Computer-Aided Engineering (CAE) tools and simulation workflows
Familiarity with CAD data and 3D geometry processing (e.g., mesh manipulation, point clouds, surface analysis)
Understanding of Natural Language Processing (NLP) techniques and Large Language Models (LLMs)
Background in C or C++ programming

What we offer:

Permanent employment contract following a six-month evaluation period
Competitive salary package
State-of-the-art and continuously updated equipment (hardware and software)
Ongoing training in the latest technologies related to the field
Opportunities for professional growth and skill enhancement
Private health insurance
Employee Assistance Program
Complimentary breakfast and lunch at the company dining hall
Company-provided transportation to and from the premises
Fully equipped on-site gym Kato Scholari
Participation in the company’s Private Pension Fund (T.E.A.)
Ample parking facilities with electric car charging
Comfortable and modern working environment

Apply now for a place in our team!

We’re doing work that matters. Help us solve what others can’t.

","hiringOrganization":{"@type":"Organization","name":"Cadence","sameAs":"https://www.cadence.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"KATO SCHOLARI 01, Greece","addressCountry":"Greece","addressRegion":"Europe"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Machine learning","datePosted":"2025-08-19","description":"

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!

Your opportunity

\nIf you are driven by innovation, passionate about technical excellence, and ready to collaborate with a team of exceptional engineers, apply now for the position of Machine Learning Engineer at New Relic. Let's embark on an exciting journey of innovation and technical advancements together! \n \nAt New Relic, we provide businesses with a state-of-the-art observability platform, leveraging advanced technologies to deliver real-time insights into the performance of software applications and infrastructure. As a company at the forefront of the industry, we enable organizations to monitor, analyze, and optimize their systems to achieve enhanced reliability, performance, and user experience. Join us in our mission to revolutionize observability and empower businesses in today's dynamic digital landscape. \n

What you'll do

Work alongside Data Scientists and Data Engineers to turn machine learning research concepts into scalable production-grade components.
Inspire engineering good-practices regarding design and coding
Design and implement pipelines for large scale data collection, analysis and persistence as well as training and serving machine learning based models.
Collaborate with various engineering teams across the organization, integrating machine learning capabilities into multiple products.

This role requires

6+ years of professional experience as a software developer in the industry
3+ years of experience working on ML DS and AI projects.
Expertise with Python and Golang
Prior experience of developing micro services (REST and gRPC) at scale in Golang.
Experience with AWS services
Experience of working on infrastructure as a code (e.g., Terraform, K8S)
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
Strong understanding of machine learning algorithms and data structures and model training and model optimisation.
Experience with containerization using Docker
Experience with DevOps tools such as Jenkins, Kubernetes, or CircleCI
Knowledge of security and compliance regulations
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills
Experience with Agile development methodologies and version control systems such as Git
Strong understanding of software development principles and best practices

Bonus points if you have

Contribution to open source projects
Experience working with or building GraphQL schemas
Experience building and maintaining high throughput pipelines and distributed systems
Experience working on an Observability product, especially in the SaaS vendor space

Please note that visa sponsorship is not available for this position.

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.

Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy

","hiringOrganization":{"@type":"Organization","name":"New Relic","sameAs":"https://newrelic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Staff Software Engineer, Machine Learning","datePosted":"2025-08-13","description":"
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship
We are seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.\n

What you'll do

Develop product features that can improve performance via feedback loops
Design pipelines for fine-tuning LLMs
Design and implement end-to-end product capabilities, including frontend and backend components
Drive a/b tests to iterate and improve product features and ML capabilities continuously
Work with our Platform, SRE and Data Infrastructure teams to support production needs for ML services
Follow advancements in AI and ML, and participate in discussions about them with the ML and research teams

What you'll need

Strong architectural skills, with proven experience designing complex software systems
Strong engineering skills, with at least an intermediate level skill in Python
Experience implementing technical solutions, tackling tough engineering problems to help build our products.
Experience building and deploying production ML models to solve real-world problems
A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others

What we'd like to see

Experience working on AWS and familiarity with CI / CD tools
Experience with Athena, Kafka and a strong background in databases
Experience managing software infrastructure for engineering teams
Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams

Benefits

Competitive compensation
Stock options
Prudent Life Insurance
Onsite lunch & dinner stipend
Connectivity (mobile phone & internet) stipend
Wellness perks
Mac equipment
Learning & development stipend
Parental leave, including 6 weeks paternity leave

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance.","hiringOrganization":{"@type":"Organization","name":"ASAPP","sameAs":"https://www.asapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning Infrastructure","datePosted":"2025-08-15","description":"

About our Engineering team

At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.

We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.

About this role

As a Software Engineer, Machine Learning Infrastructure at David AI, you will build and scale the core infrastructure that powers our cutting-edge audio ML products. You’ll be leading the development of the systems that enable our researchers and engineers to train, deploy, and evaluate machine learning models efficiently.

In this role, you will

Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently.
Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility.
Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring.
Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault-tolerant production workloads.
Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation.
Evaluate and integrate new MLOps technologies and optimization techniques to enhance infrastructure velocity and reliability.

Your background looks like

5+ years of backend engineering with 2+ years ML infrastructure experience.
Hands-on experience scaling cloud infrastructure and large-scale data processing pipelines for ML model training and evaluation.
Proficient with Docker, Kubernetes, and CI/CD pipelines.
Proven ML model deployment and lifecycle management in production.
Strong system design skills optimizing for scale and performance.
Proficient in Python with deep Kubernetes experience.

Bonus points if you have

Experience with feature stores, experiment tracking (MLflow, Weights and Biases), or custom CI/CD pipelines.
Familiarity with large-scale data ingestion and streaming systems (Spark, Kafka, Airflow).
Proven ability to thrive in fast-moving startup environments.

Some technologies we work with

Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.

Compensation and benefits

Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
Competitive salary and equity package.
Flexible PTO policy.
Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
Paid lunch and dinner in the office, every day through DoorDash.
401k access.

","hiringOrganization":{"@type":"Organization","name":"David AI","sameAs":"https://withdavid.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Lead Software Engineer, Machine Learning","datePosted":"2025-08-19","description":"At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship
We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.
Applicants with all or some relevant combination of the requirements listed below are encouraged to apply. This is a hybrid role, with a preference for candidates near our Bengaluru office, as we require 12 days of in-office presence per month to balance flexibility with collaboration.\n

What you'll do

Help us turn research into meaningful ML products that help tens of millions of users
Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects
Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
Encourage and participate in open collaboration within the ML team and across functions, driving best practices, sharing AI/ML advancements and joint problem-solving.

What you'll need

Production experience with Python, AWS, Kubernetes, and/or Docker. Proven skill at debugging complicated systems and writing solid test cases to ensure their stability.
Experience implementing technical solutions, tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems working closely with the Product team to achieve business goals.
A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others
Passion for Machine Learning and solving problems

What we'd like to see

Production experience with Machine Learning and/or Natural Language Processing
Experience in deep-learning frameworks like PyTorch and TensorFlow
Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
Experience using Athena and Redshift

Benefits

Competitive compensation
Stock options
ICICI Lombard General Insurance LTD
Onsite lunch & dinner stipend
Connectivity (mobile phone & internet) stipend
Wellness perks
Mac equipment
Learning & development stipend
Parental leave, including 6 weeks paternity leave

ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance","hiringOrganization":{"@type":"Organization","name":"ASAPP","sameAs":"https://www.asapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Software Engineer, Machine Learning Training - Singapore","datePosted":"2025-06-30","description":"

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About the team
The ByteDance Large Model Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities.

The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI.

In our team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running steadily and reliably, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.

Responsibilities:
- Responsible for building the future generation of SFT/RL training framework
- Responsible for optimizing e2e LLM/AIGC training efficiency, including reducing memory usage, tuning model parallelism strategies, etc.
- Responsible for making the training framework easy-to-adopt with good out-of-box performance
- Collaborate with critical product teams to enable their LLM/AIGC products landing

Qualifications

Minimum Qualifications:
- Bachelor's degree or above, major in computer/electronics/automation/software or related
- Proficient in C/C++, proficient in algorithms and data structures, familiar with Python
- Understand the basic principles of deep learning algorithms, be familiar with the basic architecture of neural networks and understand deep learning training frameworks such as PyTorch and TensorFlow
- Have a strong sense of responsibility, good learning ability, communication ability and self-drive, good team spirit

Preferred Qualifications:
- Proficient in GPU high-performance computing optimization technology on CUDA, in-depth understanding of computer architecture, familiar with parallel computing optimization, memory access optimization, low-bit computing, etc.
- Familiar with FSDP, Deepspeed, Megatron, etc.
- Strong Knowledge of LLM models, experience in accelerating LLM model optimization

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an \"Always Day 1\" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

","hiringOrganization":{"@type":"Organization","name":"ByteDance","sameAs":"https://www.bytedance.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Software Engineer 2 - Machine Learning Engineer","datePosted":"2025-08-08","description":"

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training techniques for both OpenAI and open-source models. Our work spans continual pre-training, fine-tuning, reinforcement learning at scale, and data curation. We contribute to both research and product development across Microsoft.

We build and deploy cutting-edge AI technologies that integrate language and multi-modality into Microsoft products. Our team is especially active in developing code-focused models, such as those powering GitHub Copilot and Visual Studio Code.

We are looking for a Machine Learning Engineer with a strong foundation in ML systems and a passion for deploying large-scale models in production. This role is ideal for someone who has experience working with LLMs or multimodal models and is eager to grow their expertise in building scalable, reliable ML infrastructure.

Responsibilities

Responsibilities

Collaborate with senior engineers and researchers to build and optimize training and inference pipelines for LLMs, SLMs, multimodal, and code-specific models.
Contribute to the deployment and monitoring of models in production environments.
Write clean, efficient, and maintainable code for ML systems.
Help improve inference performance, reliability, and scalability.
Participate in rapid experimentation cycles and support integration with Microsoft products.

Qualifications

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
2+ years of experience with Python and ML frameworks such as PyTorch or TensorFlow.
Hands-on experience with training or fine-tuning LLMs or multimodal models.
Familiarity with production ML systems and concepts like model serving, caching, batching, and monitoring.
Understanding of distributed systems and cloud-based infrastructure.

Preferred Qualifications

Experience with containerization tools (e.g., Docker, Kubernetes).
Exposure to MLOps or DevOps practices (CI/CD, automated testing, deployment).
Interest in generative AI and open-source model ecosystems.
Ability to work in a fast-paced, collaborative environment with a growth mindset.
Strong communication and documentation skills.

#AI Platform Hiring#

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Senior Software Engineer, Machine Learning (Ads)","datePosted":"2025-08-07","description":"

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking.

As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies.

What You'll Be Doing

Design, develop, and deploy machine learning models for ads targeting and ranking.
Develop sophisticated ML solutions such as identity graph to enhance ad targeting.
Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, impression delivery).
Improve ads targeting and ranking by leveraging both on-platform and off-platform signals.
Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap.
Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making.
Drive research and implementation of state-of-the-art ML techniques in the field of online advertising.

What you should have

5+ years of experience as a Machine Learning Engineer or Data Scientist.
3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement).
Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Experience with applied deep learning (e.g transformers, embedding models).
Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications.
Experience working with real-time ML inference, A/B testing, and optimization frameworks.
Experience translating ML evaluation results and performance metrics into actionable product roadmap items.
The ability to thrive in a fast-moving, ambiguous environment and build systems from the ground up.

Bonus Skills:

Strong understanding of performance advertising and how ML impacts revenue and advertiser retention.
Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc.
Experience with large-scale recommendation systems.
Experience with large-scale data infrastructure and distributed computing.

The US base salary range for this full-time position is $220,000 to $247,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

","hiringOrganization":{"@type":"Organization","name":"Discord","sameAs":"https://discordapp.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Lead Software Engineer - Python Machine Learning","datePosted":"2025-08-05","description":"

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platform (IP) Storage Product Line, you will lead the design, development, and implementation of innovative solutions, leveraging your deep expertise in Python programming and machine learning techniques. You will guide cross-functional teams to deliver secure, high-quality production code, adhering to industry standards and best practices. The ideal candidate will have substantial programming experience, advanced proficiency in Python, and a strong passion for applying machine learning algorithms to solve complex challenges.

Job Responsibilities:

Lead the application of machine learning algorithms and techniques to address complex problems, utilizing libraries such as TensorFlow, PyTorch, or scikit-learn.
Oversee collaboration with cross-functional teams to gather requirements and design machine learning models and algorithms that fulfill customer needs.
Ensure the creation of secure, high-quality production code, maintaining strict adherence to coding standards and best practices.
Direct the gathering, analysis, and preprocessing of large, diverse datasets to train and evaluate machine learning models.
Apply advanced feature engineering techniques to extract meaningful insights from data and enhance model performance.
Manage the deployment and integration of machine learning models into production systems, considering the impact on upstream and downstream systems.
Monitor and maintain deployed models, ensuring their optimal performance and reliability.
Stay informed about the latest advancements in Python programming and machine learning techniques, and explore their potential applications within the organization.
Mentor and guide junior engineers, fostering an environment of learning and growth.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and 5+ years applied experience
Minimum of 7 years of experience in software engineering, with a focus on Python and machine learning.
Extensive understanding of software engineering principles and best practices.
Mastery in advanced Python programming concepts, including object-oriented programming, decorators, generators, and context managers.
Proficiency in coding in Python, with a focus on machine learning libraries and frameworks.
Significant experience in machine learning model development, including data preprocessing, feature engineering, model selection, training, and evaluation.
Familiarity with agile methodologies and practices.
Strong problem-solving and analytical skills.
Excellent communication and leadership abilities.
Ability to work effectively in a team environment and lead projects.
Commitment to continuous learning and growth within the field of Python programming and machine learning.

Preferred Qualifications, Capabilities, and Skills:

Experience with AI/ML implementation in cloud platforms, such as AWS or Azure.
Knowledge of AI/ML deployment techniques, including model serving, containerization, and cloud-based deployment.
Experience in leading teams and managing projects in a fast-paced environment.

\n\n\n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.\n \n\n

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

\n\n

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}}]}

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