{"@context":"https://schema.org","@type":"ItemList","name":"Find Machine Learning Engineer Jobs - Apply Now","description":"Explore the latest Machine Learning Engineer job openings. Apply now to kickstart your career in AI and data science. Find top companies hiring Machine Learning Engineers.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Machine Learning Engineer - Global E-commerce Recommendation/Search","datePosted":"2025-09-20","description":"The Data-E-commerce team oversees algorithmic and corresponding engineering work in the e-commerce business. Our responsibilities encompass not only utilizing recommendation and search algorithms to help users discover appealing products but also implementing risk control and content safety algorithms to identify malicious sellers/influencers and violations in products/videos/live streams, ensuring a secure shopping experience. Furthermore, we are involved in constructing intelligent customer service technology and large-scale product knowledge graphs, aiming to enhance efficiency across various transaction processes. Through operations optimization and intelligent supply chain algorithms, we work to improve logistics efficiency.
\n
\nResponsibilities:
\n• Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms.
\n• Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
\n• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
\n• Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Physical Design Engineer III, Silicon","datePosted":"2025-09-20","description":"

Minimum Qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
4 years of experience with programming languages such as Perl, Python, or TCL.
Experience in managing block physical implementation and Quality of Results (QoR).
Experience with Application-Specific Integrated Circuit (ASIC) Register-Transfer Level to Graphic Data System (RTL to GDS) implementation for high PPA designs.

Preferred Qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science with computer architecture.
Experience with constraints, synthesis or Clock Tree Synthesis (CTS).
Experience with 7/5/3/2nm node.
Knowledge of Register-Transfer Level to Graphic Data System II (RTL to GDSII) in innovus or cadence tools.
Knowledge of Electromigration IR Drop (EMIR), Static Timing Analysis (STA), Photon Doppler Velocimetry (PDV), Logic Equivalence Check (LEC) and VC Low Power (VCLP) flows.

About The Job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.\nThe Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

Use investigative and simulation techniques to ensure Performance, Power, and Area (PPA) is within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls from program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign-off or implementation domain to enable cross-functional teams to build and deliver blocks that are rectified by construction and ease convergence efforts.

Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.","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":3,"item":{"@type":"JobPosting","title":"ASIC Design Verification Lead, Silicon","datePosted":"2025-09-20","description":"

Minimum Qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
10 years of experience in creating and using verification components and environments in standard verification methodology.
Experience verifying digital systems using standard IP components/interconnects (microprocessor cores, hierarchical memory subsystems).

Preferred Qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in low-power design verification.
Experience with Interconnect Protocols (e.g., AHB, AXI, ACE, CHI, CCIX, CXL).
Experience in Architectural background in one or more of the following: Caches Hierarchies, Coherency, Memory Consistency Models, DDR/LPDDR, PCIe, Packet Processors, Security, Clock and Power Controllers.

About The Job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.\nGoogle'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.

Responsibilities

Verify designs using verification techniques and methodologies.
Work cross-functionally to debug failures and verify the functional correctness of the design.
Provide test plans, including verification strategy, environment, components, stimulus, checks, and coverage, and ensure documentation is easy to use.
Plan and execute the verification of the next generation configurable Infrastructure IPs, interconnects and memory subsystems.
Debug tests with design engineers to deliver functionally correct blocks and subsystems. Close coverage measures to identify verification holes and to show progress towards tape-out.

","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":4,"item":{"@type":"JobPosting","title":"Staff Machine Learning Engineer","datePosted":"2025-09-19","description":"

The opportunity
At Unity, we’re shaping the future of real-time 3D development by enabling creators to harness intelligent, autonomous systems. Our next-generation agentic AI - goal-directed, adaptive, and capable of reasoning and planning in dynamic environments - is transforming how games and simulations come to life.

We’re looking for a Staff Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game agents and simulations. Your work will directly drive innovation, allowing developers and designers to integrate sophisticated AI behavior seamlessly into their worlds.

This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

What you'll be doing

Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
Define orchestration logic for single- and multi-agent systems
Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility.
Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
Experience with multi-agent systems, orchestration, or AI tool integration.
Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
Strong system design skills and the ability to architect performant, scalable ML systems.
Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers.

You might also have

Familiarity with game development workflows.
Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
Experience with behavior trees, utility AI, or hierarchical task planning.
Passion for the gaming industry and AI applications in games.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

\n\n

Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.

As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

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

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#Sen #Li-Ar1

*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

\nGross pay salary$192,600—$288,800 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Staff Machine Learning Engineer","datePosted":"2025-09-19","description":"

This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

What you'll be doing

Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
Define orchestration logic for single- and multi-agent systems
Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility.
Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
Experience with multi-agent systems, orchestration, or AI tool integration.
Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
Strong system design skills and the ability to architect performant, scalable ML systems.
Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers.

You might also have

Familiarity with game development workflows.
Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
Experience with behavior trees, utility AI, or hierarchical task planning.
Passion for the gaming industry and AI applications in games.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

\n\n

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#Sen #Li-Ar1

\nGross pay salary$192,600—$288,800 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Principal Silicon IP Program Managaer","datePosted":"2025-09-19","description":"

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high-energy engineers to help achieve that mission.

The Compute Silicon & Manufacturing Engineering (CSME) organization within SCHIE is responsible for design, development, manufacturing and packaging of Microsoft's state of the art custom computer chips, notably the Azure Cobalt. Our solutions provide sustainable strategic advantage to Microsoft and enable our customers to achieve more.

As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Hardware, Infrastructure Management, and Fundamentals Engineering (HIFE) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for seasoned engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure.

We are looking for a Principal Silicon IP PM to join the team.

Responsibilities

Strategic IP Roadmap & Portfolio Management:Drive IP roadmap planning across multiple IP tracks. Ensure cataloging and validation of legacy IPs for reuse and traceability. Drive end-to-end process consistency across IP blocks for customer engagement, IP release management, IP milestones, and IP support & maintenance.
Executive Communication & Status Reporting:Lead regular meetings with technical leads to compile high-level status updates. Prepare and present executive summaries articulating risks, milestones, and dependencies. Translate technical progress into business-relevant insights for leadership.
Data Analysis & Insight Generation:Interpret dashboard metrics and trend data to identify risks and opportunities. Summarize complex technical data into actionable insights for decision-making. Monitor milestone health using tools like DV regression dashboards and synthesis timing reports.
Deliverables & Partnership Agreements:Track deliverables and timelines defined during the Partnership Agreement phase. Ensure alignment across cross-functional teams on customer requirements and delivery goals.
Risk Mitigation & Milestone Management:Identify schedule buffers and proactively manage risks to milestone delivery, adjusting tracking cadence as needed. Coordinate across design, DV, firmware, and platform teams to resolve blockers. Escalate issues and initiate parallel paths when needed (e.g., firmware support, vendor SOW delays).
Financial Oversight & Vendor Coordination:Track IP license needs, vendor dependencies, and lab resources. Manage budget alignment and vendor SOWs, ensuring timely closure and compliance.

Qualifications

Required/Minimum Qualifications

Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience
3+ years experience with stakeholder management, keeping deliverables on track.
OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience
OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience
OR equivalent experience.

Other Requirements:

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.

Preferred Qualifications

12+ years of technical engineering experience.
Competent interpersonal skills and the ability to motivate, inspire, and lead cross-functional teams with a high degree of independence and success.
Experience negotiating and working with industry Silicon IP vendors through the entire lifecycle from definition to post-silicon.
SOC or IP design experience across advanced technology nodes.
Demonstrated hands-on technical leadership such as creating bottom-up schedules, coordinating work across a team, driving IP milestone closure, or solving cross-team technical problems.
Experience with IP quality assurance and IP milestone acceptance criteria.
Experienced with technical IP portfolio management and strategic planning.
Data summarization, analytics, and visualization skills using Power BI, Excel (Query/Pivot); nice to have: basic SQL or Python for data wrangling.
Program systems experience: Azure DevOps/Jira (queries/boards), SharePoint/Lists for catalog metadata, Confluence/OneNote for specs and decision logs.

Silicon Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until Sept 29th 2025.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

#azurehwjobs #SCHIE #CSME #HPC

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hillsboro, Oregon, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Staff Machine Learning Engineer","datePosted":"2025-09-19","description":"

This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

What you'll be doing

Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
Define orchestration logic for single- and multi-agent systems
Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility.
Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
Experience with multi-agent systems, orchestration, or AI tool integration.
Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
Strong system design skills and the ability to architect performant, scalable ML systems.
Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers.

You might also have

Familiarity with game development workflows.
Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
Experience with behavior trees, utility AI, or hierarchical task planning.
Passion for the gaming industry and AI applications in games.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

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

#Sen #Li-Ar1

\nGross pay salary$192,600—$288,800 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Staff Machine Learning Engineer","datePosted":"2025-09-19","description":"

This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments.

What you'll be doing

Design, implement, and scale AI agents that assist in generating game code and executing goal-directed behaviors.
Define orchestration logic for single- and multi-agent systems
Develop reusable agentic frameworks - planning modules, memory systems, or policy adaptation layers - for creator extensibility.
Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviors, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modeling systems for persistent, believable behavior.
Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling.
Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms.
Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems.

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, or a related field.
5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments.
Experience with multi-agent systems, orchestration, or AI tool integration.
Strong background in one or more of the following: LLM, reinforcement learning, decision-making under uncertainty, AI planning, or multi-agent systems.
Proficiency in at least one general-purpose programming language (e.g., Python, C++, Go, Java) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
Strong system design skills and the ability to architect performant, scalable ML systems.
Excellent communication and collaboration skills; ability to work effectively with cross-functional teams including engine developers, designers, and product managers.

You might also have

Familiarity with game development workflows.
Publications or open-source contributions in reinforcement learning, agent-based modeling, or related areas.
Experience with behavior trees, utility AI, or hierarchical task planning.
Passion for the gaming industry and AI applications in games.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#Sen #Li-Ar1

\nGross pay salary$192,600—$288,800 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Principal Design Verification Engineer","datePosted":"2025-09-19","description":"

Microsoft Azure is pioneering the fastest network in the public cloud, driving industries into a new era of advanced technology through high-speed cloud computing, artificial intelligence (AI), and machine learning (ML). Within Azure Core, our mission is to build foundational capabilities that empower sectors such as energy, agriculture, healthcare, and personal banking. Azure’s innovation has positioned Microsoft as a leader in the public cloud space, unlocking transformative potential through data-driven ecosystems and technological breakthroughs that shape the future for millions worldwide.

As a Design Verification Engineer in Azure Core, you will lead a team of engineers in verifying complex hardware designs. You’ll define and execute verification plans, develop SystemVerilog testbenches using Universal Verification Methodology (UVM), and collaborate closely with firmware, software, and hardware teams across global sites. Your work will ensure the delivery of high-quality designs for Fully Programmable Gate Arrays (FPGAs) powering millions of cloud servers. This role offers a unique opportunity to strengthen your technical leadership, mentor engineers, and deepen your expertise in UVM. As part of a focused verification team, your contributions will be highly visible and impactful, with room to grow in alignment with your career goals.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

Responsibilities

\n• You will write design verification test cases by identifying new tools, test methodologies, and/or best practices that include elements such as success metrics and tracking systems and develop, review and execute test plans for complex or large sized scope feature areas or products and provide guidance to other engineers to execute test plans.

• Generate or contribute to a single or multiple project implementation schedules and determine how changes to project schedules and proposed designs impact the hardware engineering aspects of products.
• Monitor project progress/status updates across teams and anticipates potential challenges, sharing details with key stakeholders as necessary (e.g., proactively resolve design issues, advise on resource requirements, and/or identify feasible alternatives).
• Advise others regarding the appropriate test requirements and improvements to be included in relevant, highly complex hardware designs and specifications and review documentation to help ensure that the appropriate test requirements and improvements are included in relevant hardware designs and specifications by applying an understanding of how complex features or products work under a variety of scenarios.
• Develop System Verilog based testbenches using Universal Verification Methodology (UVM) testbenches for use within block level and subsystem level test environments along with reusable, configurable verification components for use across verification teams and to be leveraged for future design verification applications and projects.

Qualifications

Required Qualifications:

Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience
OR Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience
OR equivalent experience.
7+ years of experience in design verification using System Verilog and Universal Verification Methodology (UVM).
7+ years of experience leading small engineering teams in design verification, including defining test requirements, developing schedules, assigning tasks, tracking progress, and providing technical guidance.
3+ years of experience writing scripts using industry-standard scripting languages such as Python, Perl, Tool Command Language (Tcl), and Shell.

Other Requirements:

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.

Preferred Qualifications:

Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 12+ years technical engineering experience
OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience
OR Doctorate Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience
OR equivalent experience.
5 + years experience developing testbenches using Universal Verification Methodology (UVM)
3+ years of experience implementing System Verilog assertions and functional coverage, implementation and closure.
1+ year(s) of experience verifying designs for Fully Programmable Gate Arrays (FPGA) and adapting to evolving requirements to meet customer needs.
Knowledgable in industry standard interfaces like PCIe, DDR, AMBA AXI is a plus.
Experienced in RTL design and/or debug processes.

Hardware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 26, 2025.

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

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Machine Learning Engineer - Recommender systems","datePosted":"2025-09-19","description":"

Why Playstation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Machine Learning Engineer, Recommendation System

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems.

We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering, Product, and Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.
Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems.
Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations.
Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies.
Produce reusable code and conduct peer code reviews according to standard methodologies in Python.

You Bring:

Masters degree in CS/Statistics/Data Science, with a specialization in machine learning.
Experience with Python, and ideally also Scala or Java.
Experience in developing ML models for structured data.
Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib.
Industry experience in designing and implementing large-scale machine learning-based recommender systems.
Industry experience in A/B testing, experimentation design and test analysis.
Strong coding, machine learning, and statistical knowledge.

Preferred Qualifications:

Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins.
Familiarity with standard methodologies in large-scale DL training/Inference.
Experience in cloud-based environments, such as AWS.
Experience working with custom ML platforms.
Experience with LLM applied in recommendation systems.
Proactive self-starter with experience working in fast-paced environments.

Mid-Level Machine Learning Engineer

\n\n

You Will:

\nDesign and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.\n
\nWork with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems.\n
\nCreate metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.\n
\nCollaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations.\n
\nAnalyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies.\n
Produce reusable code and conduct peer code reviews according to standard methodologies in Python.
Masters degree in CS/Statistics/Data Science, with a specialization in machine learning.
Experience with Python, and ideally also Scala or Java.
Experience in developing ML models for structured data.
Proficient with Machine learning frameworks such as Tensorflow, PyTorch, Spark MLlib.
Industry experience in designing and implementing large-scale machine learning-based recommender systems.
Industry experience in A/B testing, experimentation design and test analysis.
Strong coding, machine learning, and statistical knowledge.

You Bring:

\n\n

Preferred Qualifications:

Experience with Databricks, Snowflake, Spark, Tecton, Kubernetes, Helm, Jenkins.
Familiarity with standard methodologies in large-scale DL training/Inference.
Experience in cloud-based environments, such as AWS.
Experience working with custom ML platforms.
Experience with LLM applied in recommendation systems.
Proactive self-starter with experience working in fast-paced environments.

\n\n

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or parental, trade union membership or membership in any other legally protected category.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

\n","hiringOrganization":{"@type":"Organization","name":"PlayStation Global","sameAs":"https://www.playstation.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ireland, Dublin","addressCountry":"Ireland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Machine Learning Engineer I","datePosted":"2025-09-19","description":"

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Job Duties: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner while interfacing with various teams across Pinterest, Inc. Experiment with and improve machine learning models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search). Apply machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). Build data processing pipelines, and work with large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark). Research machine learning applications across different areas. Use data driven methods and leverage the unique properties of Pinterest, Inc. data to improve candidates’ retrieval. Work in a high-impact environment with quick experimentation and product launches. Stay conversant with industry trends in recommendation systems. Telecommuting is permitted.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field.

Special Skill Requirements: (1) Data Structures; (2) Hadoop Distributed File System (HDFS); (3) Spark; (4) Machine Learning; (5) User Modeling; (6) Recommender Systems; (7) Search and ranking; (8) Natural Language Processing; (9) Scalable deep learning; and (10) Data Mining. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted.

Salary: $168,237.50 - $222,695.00 per annum
Reference #: L24-146887
This position is not available for relocation assistance.

\n\n

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$168,237.50—$222,695 USD

Our Commitment To Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, CA, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Sr. Machine Learning Engineer","datePosted":"2025-09-19","description":"

By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks.

Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools. Easily deployed, and available in traditional and SaaS-based formats, Corelight is the fastest-growing Network Detection and Response (NDR) platform in the industry. And we are the only NDR platform that leverages the power of Open Source projects in addition to our own technology to deliver Intrusion Detection (IDS), Network Security Monitoring (NSM), and Smart PCAP solutions. We sell to some of the most sensitive, mission critical large enterprises and government agencies in the world.

We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis as
needed. You will be able to look back a year from now and say two things with pride: first, “I helped to build that.” and second, “We are generating insights that no one else in the world has achieved.”

As a Sr. Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems. You will play a crucial role in the exploration and development of the ML capabilities powering our product offerings.

Responsibilities

Contribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.
Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.
Design and implement strategies to deploy LLMs and for fine-tuning.
Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.
Drive adoption of ML development best practices in code health, quality, test stability and maintainability.
Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
Work in an Agile development team focused on exploring and delivering ML use cases.

Minimum Qualifications

Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.
5+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.
Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.
Understanding of data preprocessing, feature engineering and machine learning algorithms.
Understanding of model testing and validation techniques for ensuring model quality and performance.
Proficient in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).
Experience using Docker and/or Kubernetes, and containerized applications.
Excellent communication skills to work effectively in a team.
Degree in Computer Science or related fields, or equivalent experience.

Preferred Qualifications

Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
Experience with local deployments and fine-tuning of LLMs
Familiarity with the network security domain.
Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.
Experience in designing and implementing data pipelines using Apache Spark.
Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)
Experience with experiment tracking and reproducibility tools.

We are proud of our culture and values - driving diversity of background and thought, low-ego results, applied curiosity and tireless service to our customers and community. Corelight is committed to a geographically dispersed yet connected employee base with employees working from home and office locations around the world. Fueled by an accelerating revenue stream, and investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight - we are rapidly expanding our team.

Check us out at www.corelight.com

Notice of Pay Transparency:
The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.

Compensation Range$203,000—$242,000 USD","hiringOrganization":{"@type":"Organization","name":"Corelight","sameAs":"https://corelight.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Design Verification Software Intern","datePosted":"2025-09-19","description":"

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

This role entails design and development of scalable infrastructure and software for the verification of high performance CPUs going into industry leading AI/ML architecture. The successful candidate will be responsible for development and automation of many aspects of the verification environment. The person coming into this role will have opportunities such as: writing low-level RISC-V assembly, building complex low-latency multithreaded testbenches, database programming, software testing and release automation, verilog coding and optimization of CPU components, and contributing to open source projects in the RISC-V ecosystem.

This role is on site, based out of Santa Clara, CA or Austin, TX.

\n\n

Responsibilities:

Build software and scripts for high performance simulation and emulation of CPUs
Improve verilog for optimal simulation performance and fpga emulation synthesis
Maintain and enhance the Git infrastructure to support CI/CD, nightly regressions across multiple development platforms
Build software tools and scripts for design flow automation

\n\n

Experience & Qualifications:

Currently working towards a Bachelors program
Strong programming skills. C++, Python, SystemVerilog preferred.
Solid experience with the Linux operating system
Experience with version control. Git preferred.
Interest in CPUs, hardware design, and/or programming
Willing to learn and adapt

\n \n\n\n

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

\nTenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\n

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

","hiringOrganization":{"@type":"Organization","name":"Tenstorrent","sameAs":"https://tenstorrent.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"CPU Design Verification Intern","datePosted":"2025-09-19","description":"

In this role, you will learn Functional verification of high-performance CPUs going into industry leading AI/ML architecture. You will be mentored by and work alongside a group of highly experienced engineers across various domains of the AI chip.

This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.

\nWho You Are\n\n

Passionate about computer architecture and curious about how cutting-edge CPUs actually work.
Enrolled in a BS, MS, or PhD program in EE, CE, CS, or a related field, with a strong academic record.
Experienced with C++, SystemVerilog, or scripting languages through coursework or personal projects.
Comfortable thinking at both the software and hardware level—including assembly and RTL.

\n\n
What We Need\n\n

Contribute to the functional verification of high-performance CPUs designed for general purpose and AI/ML applications.
Help develop DV test plans and testbenches for both ISA and microarchitecture-level features.
Debug RTL code and assist in making real design changes that impact chip development.
Build tools and write stimulus code that can scale across pre-silicon to post-silicon environments.

\n\n
What You Will Learn\n\n

Get hands-on experience verifying state-of-the-art AI/ML hardware with guidance from experienced engineers.
Explore how performance, RTL, and DV tools come together in a full-chip environment.
Deepen your understanding of CPU design, ISA-level verification, and system-level debugging.
Work in a real-world engineering team and gain exposure to industry-standard workflows and toolchains.

\n\n\n\n\n

\nTenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\n

","hiringOrganization":{"@type":"Organization","name":"Tenstorrent","sameAs":"https://tenstorrent.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, Texas, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"

About Definitive Healthcare:

At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact.

We’re headquartered in Framingham, Massachusetts, but we have 3 office locations globally, including locations in Sweden, and India. We’ve grown significantly since our founding in 2011 and have expanded our global client base to 2,400+.

We’re also a great place to work. In 2024, we brought home a number of awards including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and we were recognized as a Great Place to Work in India.

We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion.

We are looking for a Senior Machine Learning Engineer to lead the design and implementation of cutting-edge AI/ML systems that deliver transformative business outcomes. In this role, you will take ownership of end-to-end ML solutions, from architecture and modeling to production and performance optimization.

From architecting end-to-end ML solutions to shaping technical strategy, your work will have a broad and lasting impact on customer experience and operational efficiency. The ideal candidate brings extensive experience in applied machine learning, deep software engineering expertise, and a track record of mentoring teams and delivering production-ready models at scale. This is a high-impact, full-stack ML role that blends research, engineering, and leadership, with the opportunity to shape both the company’s technical foundation and product direction.

Responsibilities:

ML Systems Development & Deployment

Lead the design and implementation of scalable, production-grade ML systems in cloud environments with a focus on performance, reliability, and reproducibility.
Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals.

Data Pipeline & Feature Engineering

Oversee the architecture and evolution of data pipelines for multi-terabyte datasets, ensuring efficiency and reliability.
Guide the development of high-impact features and label sets across diverse domains such as healthcare and consumer analytics

Experimentation & Model Management

Lead experimentation strategy, including design of A/B tests, advanced validation methods, and lifecycle management using tools like MLflow and Databricks.
Drive continual model improvement through advanced techniques such as automated retraining, model decay analysis, and bias mitigation. Innovation & Prototyping
Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques.
Lead technical explorations into new ML architectures (e.g., foundation models, causal inference, time series deep learning).

Cross-Functional Collaboration

Serve as a technical leader and trusted advisor, working closely with product, engineering, data, and executive teams to shape end-to-end ML solutions. Code Quality & Documentation
Set standards for code quality, performance, and documentation, and mentor junior engineers in best practices

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).
5+ years of industry experience as an ML Engineer, Data Scientist, or Data Engineer, with a focus on deploying and scaling ML systems.
Deep expertise in Python, SQL, and PySpark for distributed data processing, with proficiency in libraries like scikit-learn, PyTorch, and XGBoost.
Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent.
Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch).
Hands-on experience deploying models in cloud-based environments (AWS, GCP, Azure, and Databricks).
Proven ability to manage end-to-end ML lifecycles at scale, including data ingestion, training, evaluation, deployment, and monitoring.
Excellent communication skills and demonstrated ability to influence cross-functional teams.

Preferred Qualifications:

Experience working with healthcare claims, EHR, or life sciences datasets.
Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or related technical field.
Strong knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning.
Experience with deep learning architectures for time series forecasting, sequential data, or hierarchical modeling.
Proficient in designing evaluation protocols and defining performance metrics to rigorously assess model effectiveness and drive data-driven decision-making.
Comfortable operating in fast-paced, high-ownership environments, and able to prioritize multiple high-impact projects

Why we love Definitive, and why you will too!

Industry leading products
Work hard, and have fun doing it
Incredibly fast growth means limitless opportunity
Flexible and dynamic culture
Work alongside some of the most talented and dedicated teammates
Definitive Cares, our community service group, gives all of us a chance to give back
Competitive benefits package including great healthcare benefits and a 401(k) match

\n\n

What our Employees are saying about us on Glassdoor:

“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”

-Business Development Manager

“Great team. Amazing growth. Employees are treated very well.”

-Research Analyst

“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.”

-Profile Analyst

\n\n

If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter.

If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request.

\n\n

Definitive Hiring Philosophy

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply!

\n\n

Privacy
Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information.

\n\n

Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators with an @definitivehc.com email address. We will never request any money transfer or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process.

","hiringOrganization":{"@type":"Organization","name":"Definitive Healthcare","sameAs":"https://www.definitivehc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Sr. Machine Learning Engineer","datePosted":"2025-09-19","description":"

The opportunity
At Unity, we’re committed to building a culture grounded in Empathy, Respect, and Opportunity. Within our fast-paced and collaborative environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. The Unity Demand Optimization team plays a central role in this effort by building ad campaign optimizations that enable advertisers to efficiently capture user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers' off-site goals into auction ranking, helping them maximize installs, key conversions, or return on ad spend.

We are seeking a highly skilled staff engineer to take a critical role in building state-of-the-art bidding optimization systems that enable:

Efficient budget pacing across campaigns.
Automated bidding strategies that align with advertiser goals.
Continual system improvement through rigorous experimentation.
Sustainable growth for Unity’s advertising business.
What you'll be doing
Design, implement, and maintain high-performance auto-bidding algorithms and advertiser-facing products (e.g., Target ROAS, Target CPA).
Ensure these systems meet or exceed campaign performance goals, advertiser expectations, and system reliability standards.
Lead development on core initiatives such as:
A bid-based budget pacing system that ensures daily budget delivery.
Maximize Conversions, which leverages real-time bidding to meet key advertiser goals.
Lowest Cost, a product that automates bidding to simplify campaign management.
Target ROAS, which lets advertisers scale volume without sacrificing performance targets.
Drive best practices for model quality, experimentation, system reliability, and operational excellence.
Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
Effectively communicate complex technical concepts to non-engineering stakeholders.

\n\n\n\n\n\n

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience.
5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
3+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar.
Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

You might also have

Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
Experience with state of the art control systems, reinforcement learning algorithms.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

\n\n

#Sen #Li-Ed1

\nGross pay salary$165,600—$248,600 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Sr. Machine Learning Engineer","datePosted":"2025-09-19","description":"

We are seeking a highly skilled staff engineer to take a critical role in building state-of-the-art bidding optimization systems that enable:

Efficient budget pacing across campaigns.
Automated bidding strategies that align with advertiser goals.
Continual system improvement through rigorous experimentation.
Sustainable growth for Unity’s advertising business.
What you'll be doing
Design, implement, and maintain high-performance auto-bidding algorithms and advertiser-facing products (e.g., Target ROAS, Target CPA).
Ensure these systems meet or exceed campaign performance goals, advertiser expectations, and system reliability standards.
Lead development on core initiatives such as:
A bid-based budget pacing system that ensures daily budget delivery.
Maximize Conversions, which leverages real-time bidding to meet key advertiser goals.
Lowest Cost, a product that automates bidding to simplify campaign management.
Target ROAS, which lets advertisers scale volume without sacrificing performance targets.
Drive best practices for model quality, experimentation, system reliability, and operational excellence.
Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
Effectively communicate complex technical concepts to non-engineering stakeholders.

\n\n\n\n\n\n

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience.
5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
3+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar.
Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

You might also have

Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
Experience with state of the art control systems, reinforcement learning algorithms.

Additional Information

Relocation support is not available for this position.
Life at Unity
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.

\n\n

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#Sen #Li-Ed1

\nGross pay salary$165,600—$248,400 USD","hiringOrganization":{"@type":"Organization","name":"Unity","sameAs":"https://unity.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Machine Learning Engineer l","datePosted":"2025-09-19","description":"

Opportunity Overview:

Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

In this role, you’ll join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that help automate burdensome administrative clinical practices. You will be tasked with finding the most promising opportunities for impact and then delivering on them. This is a unique opportunity to join a high caliber engineering team that is growing quickly. You will build impactful healthcare technology on a modern tech stack.

What You’Ll Do:

Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
Build reliable and scalable production machine learning systems
Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time.
Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts.

What You’Ll Need:

You have 1+ years full time professional experience in ML
You have an MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field
You have hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs
You understand scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results
You have experience configuring, training, evaluating, deploying, and maintaining models in a production setting
Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch.

Bonus Points For:

Experience with healthcare data such as claims and EMR data
Experience with OCR
Experience with graph databases or network analysis
Hands on experience using AWS tools such as SageMaker Studio and Neptune

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Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program

📈 401K retirement plan with company match; flexible spending and health savings account

🏝️ Up to 184 hours (23 days) of PTO per year + company holidays

👶 Up to 14 weeks of paid parental leave

🐶 Pet Insurance

The salary range for this position is $95,000.00 to $110,000.00 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

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Interview Process*:

Connect with Talent Acquisition for a Preliminary Phone Screening
Meet your Hiring Manager!
Behavioral Interview(s)
Live Coding
Case Study

*Subject To Change

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About Cohere Health:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement:

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

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#Li-Remote

#Bi-Remote

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Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato’s AI/ML-driven platform leverages deep reinforcement learning to help insurance companies optimize the portfolio of risks they insure, allowing them to continue to provide fair and equitable pricing in difficult-to-price areas. Our category-defining ‘RiskOps’ solution drives better underwriting decisions by operationalizing underutilized data investments and surfacing real-time risk and portfolio insights. We focus on putting insurance underwriters back in the driver’s seat, helping them meet their goals while providing an important service to society.

What You'Ll Be Doing:

Design and implement scalable machine learning pipelines, serving prompt engineering workflows to enhance scalability and efficiency in submission intake processes across multiple insurance use cases.
Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge.
Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability.
Build reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads, enabling rapid experimentation and seamless transition from research to production.
Champion best practices in observability, testing, and monitoring of ML systems, establishing standards for model/data drift detection, logging, and automated rollback strategies.

Who We Hope You Are:

Proven experience as a Machine Learning Engineer or similar role (at least 5 years), with a strong focus on pipelining LLM models over the last 2 years.
Proven experience in designing scalable and robust machine learning pipelines, both for classical machine learning and large language models (LLMs) along with familiarity with open-source models is a plus.
Experience in building scalable ML pipelines using tools such as Kubeflow. Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production.
Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing
Great communication skills with the ability to convey complex findings to non-technical audiences.

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$180,000 - $220,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.

Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you!

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

The AbbVie Device & Combination Product Development (DCPD) team provides expertise to enable the development of drug delivery systems for use with AbbVie therapeutic products as well as bespoke medical device development to support AbbVie’s eye care and aesthetics portfolios. In this role, you will be leading programs in development of robust drug delivery systems at the intersection of engineering and biopharmaceutics, as well as improving capabilities within our state-of-the-art laboratories. You will be working with a global team of exceptional scientists, engineers, and leaders on a variety of drug delivery systems from autoinjectors to advanced electromechanical infusion pump systems. Your expertise and leadership will ensure these systems are safe and effective in meeting their intended use. You will independently conceive, execute, and communicate novel multi-disciplinary development strategies that achieve project and area goals.

We are looking for an individual with a comprehensive knowledge of development of medical devices and drug delivery systems to support AbbVie’s therapeutic pipeline.

Responsibilities:

Define verification strategy and lead planning and execution of the activities to meet program objectives. Create verification plans, protocols, records, and reports. Determine sample size strategy based on strong scientific rationale conforming to internal and regulatory guidelines.
Lead verification activities within cross-functional teams.
Lead execution of test procedures and writing of protocols supporting engineering testing and verification testing, analyze data, document in lab notebooks, and present results to cross-functional teams. Experience using Zwick and flow measurement equipment is preferred. Familiarity with 3D printing, CT Scanners, Viscometers, Climate Chambers, etc. is a plus.
Lead root cause investigations and issue resolutions.
Define, develop, and validate test methods.
Implement new testing approaches for state-of-the-art testing & verification.
Drive global harmonization of development & verification processes.

Qualifications

BS or equivalent education and extensive, typically 14+ years of experience; MS or equivalent education with typically 12+ years of experience; PhD with typically 6+ years of experience required. (A degree in an engineering field, preferred: mechanical, materials, packaging, bioengineering).
Strong expertise in Design Verification for Medical Devices and experience working in a regulated environment in compliance to 21 CFR 820 and MDR.
Significant background in engineering testing and analysis including:
Direct experience of test equipment validation (IQ, OQ, PQ) is required.
Expertise in statistical analysis.
Significant documentation experience including standard operating procedures (SOPs), technical reports, and design verification plans/protocols/reports. Expertise with Electronic Lab Notebooks (ELN) and Design History File tools such as Polarion/LinkUs
Proficiency in MS Office, SolidWorks, MATLAB, LabView, Minitab.
Lean Six Sigma, 5S experience desired.
Good communication skills, both written and oral. Ability to prepare technical reports and presentations. Demonstrated scientific communication and presentation skills, including the ability to present to senior management.
Willingness and ability to travel both domestic and internationally, up to 10% of the time

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About Us

TakeUp, LLC is revolutionizing revenue optimization for hospitality with a daring approach to pricing. Using AI and machine learning, TakeUp empowers independent operators to unlock maximum revenue potential through pricing courageously—day in, day out. Seamlessly integrated with top Property Management Systems, our platform replaces traditional rate-setting constraints with data-driven confidence, delivering an impressive 10-15x ROI.

The Opportunity

We are hiring a Senior Machine Learning Engineer to focus on applied modeling for our rate optimization engine. This role is hands-on: designing, training, and deploying models that turn hotel data into reliable production outcomes. You will collaborate closely with the ML Engineering Manager, the CTO, and product partners to design modeling approaches, build pipelines, and support experiments that drive measurable revenue impact.

What You’Ll Do

Modeling

Design, train, and deploy production ML models, with emphasis on tree-based methods (XGBoost, LightGBM, CatBoost).
Contribute to feature engineering and model evaluation approaches that balance accuracy, interpretability, and speed.
Translate customer needs and product requirements into practical modeling tasks (classification, regression, ranking, uplift).
Develop custom performance metrics to evaluate models’ ability to generate reasonable counterfactual demand estimates while accounting for varying customer product expectations.
Support explainability efforts to justify rate decisions with clear artifacts and documentation.

Pipelines & Deployment

Build and maintain training and evaluation pipelines, ensuring offline metrics align with online business outcomes.
Partner with engineering to integrate models into production services and batch jobs with defined SLAs.
Contribute production ready Python and SQL code with strong testing and review practices.
Support data quality, observability, and reproducibility across the ML lifecycle.

Experimentation

Collaborate on experiment design, including A/B testing and staged rollouts.
Implement policy guardrails to ensure automated rate changes are safe and controlled.
Analyze experimental results, communicate lift and trade-offs, and document findings.

Collaboration

Work closely with product, engineering, and leadership to scope problems and propose modeling approaches.
Participate in code reviews, model reviews, and planning sessions.
Share learnings and contribute to improving team practices around modeling, metrics, and documentation.

Who You Are

4+ years of experience building and deploying ML models to production.
Proficiency in Python (scikit-learn, XGBoost/LightGBM/CatBoost).
Strong SQL skills and comfort with large, imperfect, real-world datasets.
Experience across the full model lifecycle: data preparation, feature engineering, training, evaluation, deployment, and monitoring.
Familiarity with experimentation design and metrics; able to reason about trade-offs and safeguards.
Clear communicator, comfortable working in a collaborative, fast-paced environment.

Nice To Have

Experience with causal inference (uplift modeling, causal forests, DML) or time-series modeling.
Exposure to reinforcement learning concepts (multi-armed bandits, dynamic programming, temporal-difference learning).
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt.
Familiarity with orchestration frameworks (Prefect, Airflow).
Familiarity with MLOps frameworks (Sagemaker, Vertex AI)
Domain knowledge in pricing, demand modeling, or hospitality.
Former start-up experience.

Why Takeup?

At TakeUp, we empower our team to innovate, grow, and succeed. You’ll join a passionate group of professionals who are committed to changing the way businesses run. This is mission-driven work: we’re empowering independent inns and small hotels, businesses often underserved and outgunned by enterprise competitors, with technology that levels the playing field.

Ready to take your career to the next level with a fast-growing SaaS company? Apply now and let's make an impact together!

Travel

This role is remote. While flexibility is key, we also value in-person connections. Travel may be needed for customer discovery, team building, and/or networking.

EQUAL OPPORTUNITY EMPLOYER
1848 Ventures celebrates diversity and is committed to inclusion. All qualified applicants receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, or status as a protected veteran.

","hiringOrganization":{"@type":"Organization","name":"1848 Ventures","sameAs":"https://www.1848ventures.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer- GenAI Platform","datePosted":"2025-09-19","description":"

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Opportunity:

We are looking for a versatile, curious, and energetic Senior Machine Learning Engineer to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we thrive on solving complex challenges on a global scale! As a Senior Machine Learning Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

The Senior ML Engineer, as a part of our Generative AI team, will play a multifaceted role in the design, development, and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework, developing efficient inferencing algorithms, and fine-tuning the LLM to cater to various applications.

This role will also involve leveraging various machine learning stacks to enhance system efficiency, researching new techniques to advance our LLM applications, and collaborating with cross-functional teams within the organization. In addition, the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles, robust problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment.

Essential Functions:

Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development including:
Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:
•2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Preferred Qualifications:
•3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Exposure to leading-edge areas such as Machine Learning, Big Data, Distributed Systems or SRE.
•Experience in at least one of the following: Python, Golang, Java, or C/C++
•Familiarity with web service standards and related patterns (REST, gRPC)
•Experience implementing solutions for low-latency, distributed services using open standard technologies.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $130,700.00 to $184,440.00 to per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Machine Learning Engineer","datePosted":"2025-09-19","description":"

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We are seeking a Machine Learning Engineer to design, implement, and maintain ML solutions that enable secure, scalable, and data-driven decision-making. You will work with large and complex datasets, collaborating with engineers and analysts to build and deploy models that deliver measurable impact.

What You’ll Be Doing

Develop, train, and deploy machine learning models using AWS SageMaker and related cloud-based services.
Design and maintain end-to-end ML pipelines for data ingestion, training, testing, deployment, and monitoring.
Collaborate with data engineers and data scientists to ensure datasets are clean, well-structured, and ready for modeling.
Implement monitoring, performance tuning, and retraining strategies for production models.
Document ML workflows, ensuring transparency and compliance with DHA policies.
Ensure all ML solutions adhere to federal security and privacy frameworks (HIPAA, NIST, CMMC, RMF).
Support cross-functional initiatives involving predictive analytics, automation, and healthcare decision support.

What You’Ll Bring:

3–5 years of experience as a Machine Learning Engineer, Data Scientist, or similar.
Strong hands-on experience with AWS SageMaker for model development and deployment.
Proficiency with Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience building and maintaining end-to-end ML workflows (training, evaluation, deployment, monitoring).
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with ETL pipelines and working with large, structured/unstructured datasets.
Knowledge of cloud-based data environments and distributed computing (AWS, Spark, or similar).
Awareness of compliance requirements in healthcare/federal settings (HIPAA, NIST, RMF).
Performs other related duties as assigned.

Nice To Haves:

Experience with Databricks and Jupyter Notebooks for experimentation and prototyping.
Knowledge of MLOps practices (CI/CD for ML, model registries, monitoring frameworks).
Familiarity with data visualization tools (Tableau, Power BI, or similar).
Prior experience supporting DHA or federal healthcare data programs.

Requirements:

Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Education:

Bachelor’s Degree

Benefits:

Fully remote
Tech & Education Stipend
Comprehensive Benefits Package
Company Match 401(k) plan
Flexible PTO, Paid Holidays

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@Oddball.io

Compensation:

At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $115,000 – $160,000

","hiringOrganization":{"@type":"Organization","name":"Oddball","sameAs":"https://oddball.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Machine Learning Engineer, Recommendations","datePosted":"2025-09-19","description":"

Join Udemy. Help Define The Future Of Learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn more about us on our company page.

Where We Work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

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About This Role

Udemy is looking for a machine learning engineer to join our Recommendations Team. Udemy’s personalized recommendations system is composed of batch (e.g., feature and machine learning pipelines), streaming (i.e., feature computation in real-time), and online (i.e., microservices to serve personalized recommendations) components. The team is responsible for all these components, as well as the underlying algorithms and evaluation methodologies.

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In this role, you will design, build, and integrate scalable systems, platforms, and tools to provide better recommendations and personalization data with low latency. You will work in a wide stack, including both data-related technologies and backend development, as a part of a cross-functional agile team of engineers, data scientists, and product managers.

\n\n

Are you passionate about learning, willing to take technical challenges, care about making an impact, and looking for a diverse, collaborative, and fun environment that also values quality? If so, come help us improve lives through learning at Udemy!

\n\n

What you'll be doing

\nDesign, develop, test, and deploy recommendation- and personalization-related systems, platforms, and tools at scale.\n
\nDevelop performant ML models for realtime use-cases.\n
\nDesign and analyze experiments and monitor performance of personalized recommendations.\n
\nTranslate data science prototypes into scalable production implementations.\n
\nPartner with data scientists to troubleshoot and optimize complex data pipelines.\n
\nCollaborate with data scientists, engineers, and product managers to identify opportunities to improve our platform through personalization.\n

\n\n

What You'Ll Have

\n1-2 years of full-time experience with data science or backend engineering or equivalent.\n
Strong knowledge of computer science fundamentals, including object-oriented design, data structures, and algorithms.
Strong knowledge of statistics, machine learning, and natural language processing.
Proficiency with Python, Java and/or Kotlin.
Experience building complex data products.
Experience with offline data storage and processing frameworks such as Hadoop, Hive and Spark.
Self-driven, highly motivated, and able to learn quickly.
Excellent written and oral communication skills.
Preferred, but not required
\nExperience with the design, development, and operational maintenance of large-scale platforms and services.\n
\nExperience with recommendations, search or information retrieval.\n
\nExperience with online data storage and processing frameworks such as Kafka, MySQL, Redis, and DynamoDB.\n
\nExperience with SQL performance tuning and query optimization.\n

\n\n\n

At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity.

Hiring Compensation Range$140,000—$175,000 USD

Why Work Here?

You’ll grow here.
Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.

AI is real here.
We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
You’ll own your work.
We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.
You’ll build with others.
We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
You’ll see your impact.
What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?

\n\n\n\n

Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.

Our Benefits Start With U

Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits & US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

\n\n\n\n\n\n\n\n\n

Information regarding data privacy is available within the Udemy Careers Privacy Notice.

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Join Udemy. Help Define The Future Of Learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home.

Learn more about us on our company page.

Where We Work

\n\n

About This Role

\n\n

What you'll be doing

\nDesign, develop, test, and deploy recommendation- and personalization-related systems, platforms, and tools at scale.\n
\nDevelop performant ML models for realtime use-cases.\n
\nDesign and analyze experiments and monitor performance of personalized recommendations.\n
\nTranslate data science prototypes into scalable production implementations.\n
\nPartner with data scientists to troubleshoot and optimize complex data pipelines.\n
\nCollaborate with data scientists, engineers, and product managers to identify opportunities to improve our platform through personalization.\n

\n\n

What You'Ll Have

\n1-2 years of full-time experience with data science or backend engineering or equivalent.\n
Strong knowledge of computer science fundamentals, including object-oriented design, data structures, and algorithms.
Strong knowledge of statistics, machine learning, and natural language processing.
Proficiency with Python, Java and/or Kotlin.
Experience building complex data products.
Experience with offline data storage and processing frameworks such as Hadoop, Hive and Spark.
Self-driven, highly motivated, and able to learn quickly.
Excellent written and oral communication skills.
Preferred, but not required
\nExperience with the design, development, and operational maintenance of large-scale platforms and services.\n
\nExperience with recommendations, search or information retrieval.\n
\nExperience with online data storage and processing frameworks such as Kafka, MySQL, Redis, and DynamoDB.\n
\nExperience with SQL performance tuning and query optimization.\n

\n\n\n

Hiring Compensation Range$140,000—$175,000 USD

Why Work Here?

AI is real here.
We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
You’ll own your work.
We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact.
You’ll build with others.
We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
You’ll see your impact.
What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs?

\n\n\n\n

Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together.

Our Benefits Start With U

\n\n\n\n\n\n\n\nBenefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.\n \nAt Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! \n\n\n\n\n\n\n\n

Information regarding data privacy is available within the Udemy Careers Privacy Notice.

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At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

About Us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We are seeking skilled engineers to join our Training Tech team working on optimising large scale training jobs as we aim to scale our models through the next order of magnitude. A successful candidate will increase efficiency of training jobs in order to allow Wayve to train larger models faster.

Key Responsibilities:

Profile training jobs to identify their bottlenecks, e.g. using NVIDIA Nsight Systems
Design and implement efficiency improvements to maximise MFU, e.g. tensor parallelism, model compilation, mixed precision
Design and implement observability tools, e.g. to track MFU
Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization

\n\n

About You

In order to set you up for success as a ML Engineer (Training Performance) at Wayve, we’re looking for the following skills and experience.

\n\n

Essential

Experience optimize large scale training jobs on GPU compute clusters.
Experience in working in platform teams and working with research teams.
Experience in reporting and tracking over time benchmarked performance in an open and accessible way.
Ability to write high quality, well-structured and tested Python code
BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Desirable

Solid experience working with concurrent, parallel and distributed computing.
Experience using Nvidia NSight Systems.
Experience implementing GPU kernels.
Knowledge of computing fundamentals - what makes code fast, secure and reliable.

This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

\n\n

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

Fpga/Asic Design Engineer (Silicon Engineering)

At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact and are looking for best-in-class engineers to help maximize Starlink’s utility for communities and businesses around the globe.

We are seeking a motivated, proactive, and intellectually curious engineer who will work alongside world-class cross-disciplinary teams (systems, firmware, architecture, design, validation, product engineering, ASIC implementation). In this role, you will be developing cutting-edge next-generation FPGAs and ASICs for deployment in space and ground infrastructures around the globe. These chips are enabling connectivity in places it has previously not been available, affordable or reliable. Your efforts will help deliver cutting-edge solutions that will expand the performance and capabilities of the Starlink network.

Responsibilities:

Design digital ASICs and/or FPGAs for Starlink projects, implementing complex SoC blocks and SoC integration tasks
Implement or integrate design blocks using Verilog/SystemVerilog
Optimize designs for power, performance and area
Participate in the design process starting with high-level conceptual and architectural discussions and ending with micro architecture and design partition within the ASIC and/or FPGA
Participate in all phases of ASIC and/or FPGA design flow (e.g. synthesis, timing closure, verification)
Work with ASIC backend/implementation teams as needed
Bring-up and validate ASICs and FPGAs in the lab
Collaborate with software engineers in developing production software for your designs

Basic Qualifications:

Bachelor’s degree in electrical engineering, computer engineering or computer science
2+ years of experience working with ASICs or FPGAs

Preferred Skills And Experience:

Experience designing digital ASICs and/or FPGAs
Experience writing RTL in Verilog or SystemVerilog
Experience in designing SoC, DSP, digital communication system datapath blocks, and/or modems
Experience and understanding of AXI/AHB/APB protocols
Experience with EDA tools such as HDL simulators (e.g. VCS, Questa, IES), HDL Lint tools (e.g. Spyglass) and FPGA tools (e.g. Xilinx Vivado, Altera Quartus II)
Experience with scripting (csh/bash, Perl, Python etc.)
Software design and development skills
Ability to work in a dynamic environment with changing needs and requirements
Team-player, can-do attitude and ability to work well in a group environment while still contributing on an individual basis
Enjoys being challenged and learning new skills

Additional Requirements:

Must be willing to work extended hours and weekends as needed

Compensation & Benefits:

Pay Range:

ASIC/FPGA Design Engineer/Level I: $122,500.00 - $145,000.00/per year
ASIC/FPGA Design Engineer/Level II: $140,000.00 - $170,000.00/per year

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation & will be eligible for 10 or more paid holidays per year. Exempt employees are eligible for 5 days of sick leave per year.

Itar Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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The Role

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.
As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales.
You will build foundational models for biology capable of reading and writing biology at scale
You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems
You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets
You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization
You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits

Who We'Re Looking For:

You have a Bachelor's in Computer Science, Machine Learning, or a related technical field
You have 3+ years of experience in developing and implementing deep generative learning models
You have experience pre-training models and are proficient in distributed computing environments
You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders
You are skilled in working with terra-scale datasets and scaling models to billions of parameters
You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics
You have experience in designing and implementing efficient data pipelines for processing and managing large datasets
You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects
You are experienced in code organization, version control, and collaborative software development practices.

Who You Are:

You have excellent problem-solving skills and the ability to quickly adapt to new challenges
You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them
You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty
You have excellent communication skills and can clearly articulate complex technical concepts
You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity

Bonus Points

You have experience applying machine learning to biology or chemistry
You have contributed to open-source machine learning projects or published research papers in the field of AI/ML
You have experience optimizing machine learning models for high-performance computing environments
You are familiar with ML-Ops practices and tools for managing ML experiments and deployments

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.

What We Offer

We encourage new and different ideas, creativity and contrarian thinking.
You own your day-to-day management. What we care about is that we all hit our milestones.
Competitive salary and equity in a growing, well-funded startup
Excellent medical, dental, and vision coverage
Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

","hiringOrganization":{"@type":"Organization","name":"Output Biosciences","sameAs":"https://www.outputbio.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Machine Learning Engineer","datePosted":"2025-09-19","description":"

Your Turn To Start The Conversation.Write The Future At Rasa.

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps us close together across borders and backgrounds and helps us create our shared vision.

Rasa means tight-knit. We get to the point and have the courage to ask ‘why?’. Because through relentless experimentation, passion, and vision, we’re transforming the way people interact with organizations through AI.

That’s Rasa. That’s our message.

Join us and add yours.

Summary

We’re looking for a driven ML Engineer (mid-level) to join one of our cross-functional teams at Rasa. You will work closely with other engineers (ML, backend, full-stack) as well as a Product Manager and a Product Designer. Your mission will be to build our own rasa copilot which helps our users to efficiently build their Rasa assistant.

About This Role

Write code to enhance the Rasa Copilot and Rasa Pro codebase, both written using Python;
Design experiments, run them, analyse results and update on LLM prompts;
Contribute to the design and implementation of our evaluation system;
Work closely with the Product Manager and Product Designer to address shortcomings of the user experience as well as build new features;
Participate in engineering refinement sessions to seek clarity about your work and provide input;
Communicate proactively about your progress, blockers and ideas regularly in team meetings and huddles;

About The Team

This team has a Product Manager, a Product Designer, an hands-on EM, 1 backend engineer, 4 full-stack engineers, 1 ML engineer, 1 QA engineer. We currently work in Kanban, value proactive communication, iterative & data-driven product development, prototyping & POCs. The focus area of this team for the next 6 months is focusing on first-time user experience (onboarding) on the Rasa Platform. This team has a strategic impact and tightly coordinates with other squads in Rasa.

About You

Please keep in mind that we are describing the background we imagine would best fit the role. Even if you don’t meet all the requirements, yet you are passionate about this role: we absolutely want to get to know you!

You have 3+ years of experience building ML systems and features;
You’re familiar with modern LLM-based frameworks and protocols (e.g. MCP, A2A);
You have experience running experiments, trying different approach and follow clear evaluation protocols;
You both curious about machine learning and building commercial software that gets adopted;
You're comfortable being lean and fix problems without waiting for someone to tell you to;
You can effectively communicate what you’re working on within the team;

Please keep in mind that we are describing the background that would best fit the role. Even if you don’t meet all the requirements, yet you are confident that you are up for the task, we absolutely want to get to know you!

What You Can Expect From Us

Flexible hours and a dedicated remote budget
A stipend for professional development & 6 paid education days to help you grow within your role
Equity Options
26 days of PTO + paid sick leave + paid public holidays
A Macbook, and other tech to help you do your job
We have regular remote team events, as well as an annual company-wide offsite
Private Health optional (Serbia Only)
You can find more information about our benefits per location here: Rasa Perks & Benefits

About Us

Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants. Merging a state-of-the-art engine with a user-friendly no-code UI, Rasa offers an open and adaptable platform that perfectly aligns with business logic. This innovative approach makes Rasa a reliable and trusted choice for enterprises seeking to enhance customer interactions while reducing costs. Rasa is privately held with funding from StepStone, PayPal, Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and is remote-first with a global presence.

Rasa is an equal opportunity employer. We are still a small team and are committed to growing inclusively. We want to augment our team with talented, compassionate people irrespective of race, color, religion, national origin, sex, physical or mental disability, or age.

Please Be Mindful Of The Hiring Location(S) Listed.

You must be located in and a resident of the location(s) listed for us to proceed with your application.

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Company Description

We are Nifty Coders Pvt. Ltd., a leading provider of Enterprise-Grade Software Engineering Services for startups and corporates. As experts in DevOps & Infrastructure, Application Development, and Service Reliability Engineering (SRE), we deliver innovative, reliable, and scalable solutions that drive business success and digital transformation.

Our commitment to excellence and industry best practices enables us to build high-quality, secure, and tailored software solutions that empower businesses to thrive. With a proven track record of successfully executing complex cloud migration and deployment automation projects, we are dedicated to helping our clients navigate the ever-evolving digital landscape, fostering long-term partnerships and growth.

Job Description

We are looking for a Senior ML Engineer to drive the development and deployment of scalable machine learning solutions. In this role, you will design, train, and optimize advanced models, build robust data pipelines, and collaborate with engineering and product teams to integrate AI capabilities into our systems. As a senior member of the team, you will establish best practices, mentor junior engineers, and lead initiatives that enhance automation, model reliability, and overall performance to deliver impactful, data-driven solutions.

Responsibilities:

Study, analyze, and transform business requirements into data science prototypes.
Design and implement machine learning systems using traditional ML algorithms (e.g., tree-based models, clustering), recommendation systems and transformer –based architectures.
Build, fine-tune, and deploy Large Language Models (LLMs), including local open-source LLMs (e.g., LLaMA, Mistral, Qwen) and API-based models.
Develop Generative AI applications, including Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., FAISS, ChromaDB, Milvus).
Run machine learning tests and experiments.
Train and retrain algorithms when necessary.
Extend existing ML libraries and frameworks.
Keep abreast of developments in the field.

Qualifications

Years of Experience: Minimum 5+ years of professional experience in software development, specializing in ML.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

Requirements:

Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Ability to write robust code in Python.
Hands-on experience with transformers and Hugging Face ecosystem.
Hands-on experience with Agentic frameworks like LangChain/LangGraph.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Additional Information

Employment Type: Full-time
Weekend: 2 Days
Work Model: Hybrid

Compensation And Benefits:

Join a Workplace That Values You

At Nifty Coders Pvt. Ltd., we celebrate innovation, collaboration, and the unique contributions each of our employees brings. We prioritize a work environment that encourages growth, well-being, and a healthy work-life balance. Here, you’ll be part of a team that values creativity, promotes flexibility, and empowers individuals to thrive.

As part of our commitment to supporting you, we offer a range of benefits and perks designed to enhance your work experience:

Competitive compensation plans
Two annual bonuses
Paid Maternity Leave (4 months) and Paternity Leave (5 working days)
Comprehensive medical insurance for you and your dependents
Monthly and quarterly team-building events
Transport allowance
Mobile and internet allowance
Subsidized daily lunch
A dynamic performance review process that fosters ongoing transparency between managers and team members
Company-sponsored certifications programs for internal career growth and development

At Nifty Coders, we foster a culture of collaboration, continuous learning, and innovation, ensuring that every employee has the opportunity to grow and succeed.

Application Deadline: October 15, 2025

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The Role

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.
As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales.
You will build foundational models for biology capable of reading and writing biology at scale
You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems
You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets
You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization
You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits

Who We'Re Looking For:

You have a Bachelor's in Computer Science, Machine Learning, or a related technical field
You have 3+ years of experience in developing and implementing deep generative learning models
You have experience pre-training models and are proficient in distributed computing environments
You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)
You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders
You are skilled in working with terra-scale datasets and scaling models to billions of parameters
You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics
You have experience in designing and implementing efficient data pipelines for processing and managing large datasets
You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects
You are experienced in code organization, version control, and collaborative software development practices.

Who You Are:

You have excellent problem-solving skills and the ability to quickly adapt to new challenges
You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them
You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty
You have excellent communication skills and can clearly articulate complex technical concepts
You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity

Bonus Points

You have experience applying machine learning to biology or chemistry
You have contributed to open-source machine learning projects or published research papers in the field of AI/ML
You have experience optimizing machine learning models for high-performance computing environments
You are familiar with ML-Ops practices and tools for managing ML experiments and deployments

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

What We Offer

We encourage new and different ideas, creativity and contrarian thinking.
You own your day-to-day management. What we care about is that we all hit our milestones.
Competitive salary and equity in a growing, well-funded startup
Excellent medical, dental, and vision coverage
Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

","hiringOrganization":{"@type":"Organization","name":"Output Biosciences","sameAs":"https://www.outputbio.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York HQ 🗽","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"We are looking for highly motivated Senior Machine Learning Engineer. We have designed a specific learning program to accelerate the young and talented graduates to enter and start their careers with the aspiration to empowering breakthrough innovation in Financial Services! WHO IS KLAARA KLAARA provides AI-driven solutions tailored to the needs of customers in the capital market, insurance, reinsurance, and various other organizations. Our cutting-edge platform empowers businesses to transform their unstructured data into actionable intelligence, fuelling better decision-making and driving competitive advantage. Headquartered in Singapore, KLAARA was launched in 2023 as a result of 3 years of Research and Development and a spin-off of Upskills, a consultancy company in Capital markets. KLAARA is composed of creative thinkers and problem solvers, with the ultimate mission to breakthrough innovation! All of us are fully engaged in delivering cutting-edge solutions with the latest state of the art in AI. Our DNA is reflected in our values, these are how we act every day to make the greatest impact on what we are doing! We ask “Why not”. We constantly learn and grow. We care for one another. We cherish honest and respectful conversations. Positive energy and proactivity are the foundations of our team. Excellence and pushing technologies characterise our ambition: Sky is the limit! We are serious about fun. If you see yourself enjoying working as a member of KLAARA team, then check out below!
WHY JOIN US?

To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up.
Contribute to KLAARA’s product development roadmap.
Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems.
Oversee the full ML model training lifecycle from data preprocessing to model serving.
Design and implement ML pipelines to allow for proper tracking of data trained models Deliver POC.
Progress within the state-of-the-art AI environment.
Fine-tune the current model and implement it.
Understand, analyse and define new models to create new use cases.
Lead a team of engineers.

Requirements

Ph.D or Master's Degree in Computer Science, Artificial Intelligence, Data Science is preferred.
Experience in ML model training/fine-tuning from Data preprocessing all the way to model serving.
Experience in optimising performance of ML models Experience with ML pipe lining tools.
Full proficiency in Python, R.
Understanding of basic Git commands.
Proficiency in Linux-based operating systems.
Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc).
Experience with Document AI understanding, and extraction is a big plus.
Experience with Pytorch or Tensorflow.
Knowledge of DevOps CI/CD tools such as Jenkins.
Knowledge of container tools such as Docker and Kubernetes Github repository with projects is a big plus (we want to see what you have been able to create).
Ability to solve technical challenges and solutions.
Good command of spoken & written English and Mandarin.
A fast learner and able to work independently.

","hiringOrganization":{"@type":"Organization","name":"Upskills","sameAs":"https://www.upskills.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raffles Quay, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Machine Learning Engineer Graduate (Trust and Safety Platform)- 2026 Start (BS/MS)","datePosted":"2025-09-19","description":"About The Team
\nThe algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.
\n
\nWe are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok
\n
\nSuccessful candidates must be able to commit to an onboarding date by end of year 2026. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
\n
\nWe are looking for a highly self-motivated research engineer to join our algo team. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow.
\n
\n1. Develop computer vision model or multimodality model to recognize violation content in TikTok
\n2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)
\n3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc
\n4. Continuously optimize the training framework to better adapt to the training of large models","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Machine Learning Engineer, TikTok Vertical Search Intern - 2025 Start","datePosted":"2025-09-19","description":"About the team
\nOur Search Team is responsible for building and owning TikTok's search engine which provides our users the best search experience. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
\n
\nCandidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
\nApplications will be reviewed on a rolling basis - we encourage you to apply early.
\nSuccessful candidates must be able to commit to at least 3 months long internship period.
\n
\nResponsibilities
\n- Optimize the searching quality to provide TikTok's users the best search experience
\n- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Machine Learning Engineer, TikTok Search Local Services Intern - 2025 Start","datePosted":"2025-09-19","description":"About the team
\nOur Search Team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users.
\n
\nCandidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
\n
\nApplications will be reviewed on a rolling basis - we encourage you to apply early.
\n
\nSuccessful candidates must be able to commit to at least 3 months long internship period.
\n
\nResponsibilities
\n- Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure;
\n- Improve the search experience in local services and promote ecosystem growth;
\n- Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency;
\n- Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation; CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.
\n- Utilize LLMs to understand users' complex local service search queries, summarize key points from numerous videos, comments, and POI reviews, and combine all those into structured AI search formats. Get involved in real-world AI applications, by building a revolutionized search experience for local service queries like destination choices, hotel searching, tourism, food & beverage reviews.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Software Engineer III, Embedded System, Silicon","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C/C++.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
Experience in ARM architecture, standard interfaces, bare-metal programming, bootloader, and firmware.
Experience in Linux kernel, device drivers, and Android system programming.
Experience with Git, Repository (Repo), and bug tracking tools.
Experience in software/hardware integration.
Experience in operating systems design and implementation.

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.\nGoogle'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.

Responsibilities

Design and implement Linux drivers and firmware for mobile systems.
Design and implement tools for system bring-up, debugging, and performance/power evaluation.
Design and implement functional tests to validate the correctness and performance of separate components and systems in pre-and post-silicon environments.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Taipei, Banqiao District, New Taipei City, Taiwan","addressCountry":"Taiwan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Software Test Engineer, Silicon, Embedded Systems","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
2 years of experience with Linux kernel driver test automation and framework development.
2 years of experience testing embedded software on SoC on Linux, Android, Real Time Operating System, or BareMetal, including experience with hardware architecture, board schematics, protocols and standards.

Preferred Qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.
4 years of experience working with prototype devices.
Experience with Android application development.
Excellent programming skills in Python.

About The Job

Google's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets Google's standards of quality and reliability.\nGoogle'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.

Responsibilities

Contribute to the development and delivery of silicon systems.
Create and maintain policies, processes, procedures, methods, tests, and documentation of silicon deliverables for the purpose of enhancing and promoting the productivity.
Identify test requirements, select appropriate tools, methods, and approach, and carry out testing of Silicon systems, influence designs to enable and enhance testing, validation, and debugging.
Drive test automate using existing test frameworks and work with the Engineering Productivity team to enhance and develop new test frameworks based on test requirements

","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 Runtime, Silicon","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.\n
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience working with embedded operating systems.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
Experience working with hardware and ML accelerators (e.g., experience at a company that builds ML chips).
Experience with machine learning algorithms and computer architecture.
Experience with on-device ML (e.g., an understanding of NLP, image and vision, on-device GenAI).

About The Job

Silicon Compute Software (SW) organization focuses on software and ML technology for the Camera, Speech and Ambient Experiences on Pixel devices. As a Software Engineer, you will work on the mobile SW stack for the Tensor SoC, with a focus on deployment of on-device ML framework for a range of user experiences including Camera, Speech, GenAI, etc. Along with your technical expertise, you will manage project priorities, deadlines and deliverables.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making 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. 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

Develop on-device Runtime SW stack to deploy Machine Learning (ML) models on mobile devices.
Track and drive performance and power optimizations to enable large on-device models.
Support customers with quickly deploying their ML models to the Tensor TPU.
Work with application software teams to prototype and enable new use cases on Tensor SoCs, while also participating in, or leading technical design reviews with peers and stakeholders.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency) and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on SW, Hardware (HW) and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

Team Overview:

Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.

What you get to do in this role:

Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.

Qualifications

Key Qualifications:

Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
5+ years of experience in machine learning, deep learning, or data science, with a track record of applied research or experimentation.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

","hiringOrganization":{"@type":"Organization","name":"ServiceNow","sameAs":"https://www.servicenow.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"Staff Silicon Characterization Engineer","datePosted":"2025-09-19","description":"Untether AI has built the world’s highest-performance, energy-efficient AI inference accelerator. We are a Toronto-based startup with employees across Canada and the US (and even a few outside North America), and we are rapidly growing to scale out our second-generation product while developing our third.
We are searching for an engineering expert on silicon characterization to help us define the production operating points of our silicon. You will design experiments, analyze data and make recommendations on how to bin our chips to optimize the performance, power, and yield\n

Responsibilities:

Own all technical aspects of chip binning from design of experiments to data analysis
Collaborate with the Product Team to set preliminary and final product definitions
Set requirements for the Validation Team to create appropriate tests
Work with the Product and Test Team to correlate results with ATE
Participate in chip design as necessary to ensure we deliver the best product

The Ideal Candidate Will Possess The Following Skills, And Experience:

7+ years of experience binning large chips (CPUs, GPUs, SOCs, NICs, etc)
Ability to define and run experiments and analyze the data
Deep understanding of silicon variation across process, frequency, temperature
Experience with yield recovery, repair, floor sweeping, or similar
Clear vision for how to organize and present vast quantities of data
Excellent communication and presentation skills
Track record of cross-functional collaboration with technical and non-technical teams

What Are Some Of The Perks That You Will Receive Being Part Of Untether Ai? Aligned To Untether’S Philosophy, Our Employees Enjoy The Same Perks, Regardless Of Role Or Level. In Part, These Include:

20 vacation days
Strong health and extended health benefits
Unlimited sick days
Stock options
Building hardware and software that will change the world

Thinking About Applying?

We’re a pretty welcoming bunch of people. If we’ve piqued your interest, you’re passionate about the same things we are but you aren’t sure if you check all the boxes, please apply anyway. We’re a great place to work, an even better place to learn and we focus on both capability and potential!

Besides being a pretty friendly group, we’re also pretty diverse - ethnically, experientially and in our physical and mental abilities. If you are someone who needs accommodation during the interview process and/or in the workplace, please send a note along with your resume to careers@untether.ai and we’ll be in touch.

A little bit more about Untether AI
Untether AI has developed a groundbreaking new architecture that brings neural net inference to new levels of performance and efficiency. We’ve already sold our product to smart clients who want to get in at ground zero. We’ve done this while continuing to improve our technology creating ultra-efficient, high performance AI chips that eliminates the data movement bottleneck that costs energy and performance in traditional architectures. We’re a team made up of scientists, engineers and entrepreneurs and have the support of tier one investors. Join us to be part of something big - a chance to create the future of AI.","hiringOrganization":{"@type":"Organization","name":"Untether AI","sameAs":"https://www.untether.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto/Hybrid","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Machine Learning Engineer","datePosted":"2025-09-19","description":"Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.
We are looking to add a Machine Learning Engineer to our team. This role will be responsible for developing products that provide ML-powered insights to our customers and integrating those applications into the Cherre tech pipeline. Candidates must have an R&D / research background as well as industry-based engineering experience deploying models into production.
The work we do at Cherre touches multiple aspects of ML - the ideal candidate should be familiar with such diverse topics as deep learning, graph algorithms, and named entity resolution. Ability to implement algorithms at scale and experience with distributed computing / big data applications is critical - our knowledge graph has billions of edges!\n

Responsibilities

Work within an agile fullstack scrum team to deploy ML models into production
Develop new ML-based services that enhance our data capabilities
Design and implement scalable and repeatable ML pipelines
Collaborate with data engineering to design workflows for ingesting data streams required for ML applications

Requirements

2+ years software experience, preferably in an object-oriented language
3+ year experience deploying ML models in a production environment Industry-based experience with big data / distributed computing applications
Familiarity with current NLP technologies
Languages: Python, SQL
Technologies: Airflow, Kubernetes, Docker, GCP stack

Nice To Haves

Masters degree in Computer Science / Engineering discipline
Publications / patents in the field of machine learning
Technologies: Apache Spark

Starting Goals

30 Day
Familiar with the Cherre tech stack
Exposure to the Cherre release process
Understands company and team goals
Assigned a mini-project that they will own
60 Day
Familiar with the existing Cherre ML pipeline
Able to start contributing PRs
Understands the types of data we ingest and common customer use cases
90 Day
Contributing to the ML pipeline on a daily basis
Mini-project is completed

Benefits

Competitive Base Salary
Equity
Range of Healthcare Plans
Paid Parental Leave
Unlimited Vacation
Flexible Work Schedule
Compensation: $155,000-220,000/ year

If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!
“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson
Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.","hiringOrganization":{"@type":"Organization","name":"Cherre","sameAs":"https://cherre.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Machine Learning Engineer","datePosted":"2025-09-19","description":"

Complyadvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

In our Entity Resolution Team we build and maintain data pipelines and services to perform Entity Resolution at scale. We use various ML and DS techniques to curate entities by ensuring their consistency and uniqueness across millions of data points. We define success via metrics representing our clients’ experience around minimising risk while also controlling operational costs.

What you will be doing

As a Machine Learning Engineer, you will

Build/train and productionize machine learning models for your squad
Build capabilities to monitor model performance and feature drift
Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
Collaborate with other software engineers in a cross functional team to design and implement intelligent services
Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
We make substantial use of modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About You:

Experience maintaining and scaling machine learning-powered applications in production environments.
Experience building scalable backend applications (preferably with Python).
A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice To Have:

Experience working with PySpark or other distributed data processing frameworks.
Background in building data-intensive applications or distributed systems using map-reduce style architectures.
Familiarity with event-driven or microservice architectures.

About ComplyAdvantage: We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

We have five global hubs in New York, London, Lisbon, Singapore and Cluj-Napoca.

Since 2014, we have raised over $100 million in funding and are backed by Goldman Sachs, Ontario Teachers, Index Ventures, Balderton Capital and a16z.

At ComplyAdvantage diversity fuels our growth and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and will consider every application fairly.

We will handle your information in accordance with our Privacy Policy. For further information, please click here.

","hiringOrganization":{"@type":"Organization","name":"ComplyAdvantage","sameAs":"https://complyadvantage.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Staff Machine Learning Engineer-Growth Marketing","datePosted":"2025-09-19","description":"

(Senior) Staff Machine Learning Engineer, Generative AI, Growth Marketing

About Growth Marketing ML

In Growth Marketing, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang’s growth, including Search Advertising, Affiliate Platform, Display Targeting & Re-targeting, CRM, Audience Platform, and other marketing services for landing, tracking & attribution.

Our ML team drives innovation across these platforms, including recommendation, personalization, budget optimization, keyword bidding, and creative optimization. We are now expanding into Large Language Models (LLMs) and Generative AI to transform how we optimize ads, creatives, and product recommendations at scale.

This is an exceptional opportunity to join a high-impact team and directly shape the future of LLM-powered growth marketing at Coupang.

\n\n

Basic Qualifications

8+ years of experience in ML engineering, including 2+ years hands-on with LLMs transformers, or generative models.
Demonstrated track record of owning ML projects end-to-end and driving measurable business impact.
Strong applied experience in training, fine-tuning, and deploying LLMs for real-world applications.
Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
Solid foundation in modern ML, including transformers, self-supervised learning, generative modeling, multimodal methods.

\n\n

Role & Responsibilities

Design and implement end-to-end LLM-driven solutions for advertising and marketing use cases (e.g., creative generation, product embeddings, recommendation, copywriting, targeting).
Develop and fine-tune large-scale transformer-based models (pretraining, instruction tuning, RAG, multimodal).
Build scalable pipelines for training, evaluation, and online serving of generative models.
Run experiments to measure business impact (CTR, CVR, GMV, ROAS) and iterate quickly.
Collaborate closely with cross-team members to integrate LLMs into production systems.
Mentor junior engineers and establish best practices for LLM/GenAI development.

Basic Qualifications

\n\n

8+ years of experience in ML engineering, including 2+ years hands-on with LLMs transformers, or generative models.
Demonstrated track record of owning ML projects end-to-end and driving measurable business impact.
Strong applied experience in training, fine-tuning, and deploying LLMs for real-world applications.
Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
Solid foundation in modern ML, including transformers, self-supervised learning, generative modeling, multimodal methods.
MS or PhD in Computer Science, Machine Learning, or related fields.

\n\n

Preferred Qualifications

Prior experience applying LLMs or generative AI in ads, recommendation, or creative optimization.
Experience building distributed training pipelines and scalable inference systems.
Familiarity with experimentation platforms and A/B testing at scale.
Strong cross-functional communication and ability to operate independently in a distributed global org.
Proven ability to mentor, influence, and set technical direction without formal management authority.
Strong written and verbal communication and teamwork skills.

\n\n

Recruitment Process and Others

\n\n

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

\n\n

Details To Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.
Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

\n\n

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

\n","hiringOrganization":{"@type":"Organization","name":"Coupang","sameAs":"https://www.coupang.jobs/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Data Scientist/Machine Learning Engineer","datePosted":"2025-09-19","description":"

Data Scientist/Machine Learning Engineer

AI for Healthcare Data Science Team, Real World Solutions

Iqvia™

The IQVIA “AI for Healthcare” Data Science team is one of the leading healthcare analytical teams in the world. Joining provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry. At IQVIA, we look for the very best people and then give them meaningful work to do. We don’t simply think about careers, we think about contributions.

About IQVIA
IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

Role Overview
We are looking for an innovative, collaborative, intellectually curious and entrepreneurial AI Engineer / Data Scientist to join our Healthcare Data Science team based in Philadelphia (King of Prussia). This is an exciting opportunity to join a fast-moving start-up style group within one of the world's leading human data science companies.

The primary focus of the role is to develop novel healthcare ML solutions on highly complex, large-scale medical data, and deploy production-grade solutions into a range of internal and external production environments to deliver patient-level alerts to healthcare providers across the world. The role requires close coordination and collaboration with our broader Data Science team (located across the UK and India), and with Consultants in our US team.

A Typical Day Might Include:

Working with the team and client to shape and develop requirements for answering ambitious life science questions (e.g. can we predict a rare disease diagnosis or an optimal dosing frequency in patients?) along with solutions for applying predictive analytics methods within infrastructures specific to each healthcare provider project.
Addressing those requirements by developing and applying appropriate ETL processes (for cohort and feature creation from the raw data) and machine learning methodology (for constructing predictive models in an unbiased manner).
Working with clients and engineering teams to plan and execute technical handovers of our algorithms to deliver alerts to the client’s healthcare providers.
Communicating technical concepts and analytical outputs to a diverse set of stakeholders (internal and external).
Proactively identifying opportunities for innovation and areas for improvement across our project workflow.
Researching machine learning techniques that could be used to improve our offering.

Ideally You Will Have:

One Of The Following:

A PhD in a technical or scientific domainOR
A technical/scientific MSc plus at least two years of experience working in a technical/consulting environment involving machine learning, preferably in a commercial setting.

Additional Qualifications:

Knowledge and practical experience of applying supervised machine learning methods, such as regularised regression, ensemble tree-based models (e.g. xgboost) and deep learning methods.
Strong scientific programming skills (ideally in Python) and software engineering skills (OOP, TDD, CI/CD, Docker, MLOps, working with large collaborative code bases) and a track record of working on a range of computational challenges in machine learning development and deployment / productionisation.
A track record of being highly collaborative. This role requires working closely with a diverse cross-functional global team. The ideal candidate enjoys working as part of small project teams, and can break down complex technical requirements into tasks that can be completed across geographies (our team has members in India, Europe and the US).
Excellent verbal and written communication skills, including ability to present technical concepts clearly (in writing, face-to-face discussions and on conference calls), write project analyses, pitch ideas effectively and persuasively to clients / internal stakeholders, provide stakeholders with timely updates on progress, etc.
A proactive, innovative and pragmatic approach to problem solving, including independent research and critical thinking, knowing when to ask for help and gather input, and finding creative solutions to complex methodological and technical problems.
Excellent organisation skills, ability to own complex projects, proactively communicate deadlines and potential delays to stakeholders, and proven ability to deliver results to deadlines.

Bonus Points For:

Interest in growing in the long term into a team management role, responsible for growing a team and formalising team operations.
Experience in an informatics/data science team of a healthcare organisation, including knowledge of healthcare data, EMR integration, types of environments used for data solution development/deployment, etc.
PySpark / big data experience.
Experience in writing your own software packages / tools.
Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilisation, study design etc.

The Team
“Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics.

Our “AI for Healthcare” team within the Real-World Solutions (RWS) division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. We are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve under-diagnosis of rare diseases, personalised treatment response profiles, disease progression predictions, and clinical decision-support tools and have a direct impact on patient care.

You will join this high-profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.

Learn More
Testimonial video featuring Nadea Leavitt, Senior Director of AI for Healthcare & MedTech at IQVIA, where she talks about why candidates should consider joining our Data Science group at IQVIA:

https://youtu.be/MKXQBncgbs8

What We Offer

Competitive compensation and benefits
A variety of training and development opportunities

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

We invite you to join IQVIA™.

Diversity & Inclusion
IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximise their personal potential.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

The potential base pay range for this role, when annualized, is $89,400.00 - $223,700.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.","hiringOrganization":{"@type":"Organization","name":"IQVIA","sameAs":"https://www.iqvia.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wayne, PA, Unites States of America, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Engineer, Design Verification Engineering","datePosted":"2025-09-19","description":"

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Design Verification Engineer

About the Role
As a Design Verification Engineer at Analog Devices, you will develop test benches and perform design verification of new digital, analog, and mixed-signal products prior to tape-out. You'll create advanced environments that support comprehensive, metric-driven verification processes and ensure the accuracy and reliability of designs through code coverage analysis. Working with moderate supervision, you'll collaborate with cross-functional teams to meet project timelines and quality standards, applying your technical expertise to solve verification challenges.

Key Responsibilities

Develop and execute comprehensive test benches for mixed-signal product verification using SystemVerilog and UVM methodologies
Create and maintain verification plans, focusing on functional and code coverage metrics to ensure design quality
Perform black box testing for complex designs to identify potential issues early in the verification cycle
Debug verification issues using advanced troubleshooting techniques and provide effective solutions
Collaborate with design teams to align verification strategies with project requirements
Create and maintain detailed documentation for verification processes and results
Participate in design reviews and provide verification insights to improve overall product quality
Apply scripting skills to automate verification tasks and improve efficiency

Must Have Skills

SystemVerilog and UVM: Proficiency in developing and maintaining verification environments using SystemVerilog and Universal Verification Methodology for complex designs
Test Bench Development: Ability to develop comprehensive test benches for mixed-signal product verification, focusing on coverage-driven methodologies
Scripting: Capability to create and implement automation scripts using Python, Perl, or TCL to enhance verification workflows
Verilog RTL: Strong understanding of Register Transfer Level design concepts and their application in verification
EDA Tools: Experience with electronic design automation tools and simulators for effective design verification
Debugging: Demonstrated ability to analyze and resolve moderately complex verification issues with limited supervision
Communication Protocols: Working knowledge of standard interfaces such as I2C, SPI, and UART, and their verification requirements

Preferred Education and Experience

Bachelor's or Master's degree in Electrical Engineering, Electronics and Communications Engineering, Computer Engineering, or related field
2-4 years of relevant experience in digital design verification

Why You'll Love Working HereAt Analog Devices, you'll be part of a collaborative and innovative team that's shaping the future of technology. We offer a supportive environment focused on professional growth, competitive compensation and benefits, work-life balance, and the opportunity to work on cutting-edge projects that make a real impact on the world.
You'll have access to continuous learning opportunities and mentorship from industry experts. Join us and help create the technologies that bridge the physical and digital worlds, making a tangible difference in how people live, work, and connect.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Graduate JobRequired Travel: No","hiringOrganization":{"@type":"Organization","name":"Analog Devices","sameAs":"https://www.analog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Philippines, Cavite, GTC","addressCountry":"Philippines","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Sr Machine Learning Engineer","datePosted":"2025-09-19","description":"

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description:

Essential Responsibilities:

Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science, statistics or mathematics with a strong technical background in machine learning.
Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. 
Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI).
Experience with Cloud frameworks such as GCP, AWS is preferred.  
Experience with developing machine learning models at scale from inception to business impact
Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
Experience in mentoring and supporting junior data scientists or engineers.
Experience working in a multi-cultural and multi-location organization – an advantage.
Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills.

Subsidiary:

PayPal

Travel Percent:

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging At Paypal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices

Associate Design Verification Engineer

About the Role
As an Associate Design Verification Engineer at Analog Devices, you will be responsible for developing test benches and performing design verification of new digital, analog, and mixed-signal products prior to tape-out.
This entry-level position focuses on learning and development while working under close direction with regular review. You'll gain hands-on experience with verification methodologies and tools while collaborating with experienced engineers who will guide your professional growth.

Key Responsibilities

Develop and execute basic test benches for mixed-signal product verification
Create and maintain basic test environments using SystemVerilog/UVM
Conduct code coverage analysis to ensure design accuracy
Debug simulation failures and track coverage metrics
Support verification planning and documentation
Collaborate with design teams to understand requirements
Identify potential design issues under guidance of senior team members
Document verification processes and results

Must Have Skills

SystemVerilog and UVM: Basic proficiency in creating and maintaining test environments for digital design verification
Scripting: Basic knowledge of Python, Perl or TCL to support automation tasks
Verilog RTL: Fundamental understanding of Register Transfer Level design concepts
Digital Interfaces: Basic understanding of common protocols (I2C, SPI, UART)
Simulation Tools: Familiarity with simulation environments and waveform debugging
Problem Solving: Ability to work on problems of limited scope and complexity
Communication: Clear written and verbal communication for effective teamwork

Preferred Education and Experience

Bachelor's degree in Electrical Engineering, Electronics and Communications Engineering, Computer Engineering, or related field
0-2 years of relevant experience; new graduates are welcome to apply

Job Req Type: Graduate JobRequired Travel: No","hiringOrganization":{"@type":"Organization","name":"Analog Devices","sameAs":"https://www.analog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Philippines, Cavite, GTC","addressCountry":"Philippines","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Engineer, Design Verification Engineering","datePosted":"2025-09-19","description":"

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices

Develop and execute comprehensive test benches for mixed-signal product verification using SystemVerilog and UVM methodologies
Create and maintain verification plans, focusing on functional and code coverage metrics to ensure design quality
Perform black box testing for complex designs to identify potential issues early in the verification cycle
Debug verification issues using advanced troubleshooting techniques and provide effective solutions
Collaborate with design teams to align verification strategies with project requirements
Create and maintain detailed documentation for verification processes and results
Participate in design reviews and provide verification insights to improve overall product quality
Apply scripting skills to automate verification tasks and improve efficiency

Must Have Skills

SystemVerilog and UVM: Proficiency in developing and maintaining verification environments using SystemVerilog and Universal Verification Methodology for complex designs
Test Bench Development: Ability to develop comprehensive test benches for mixed-signal product verification, focusing on coverage-driven methodologies
Scripting: Capability to create and implement automation scripts using Python, Perl, or TCL to enhance verification workflows
Verilog RTL: Strong understanding of Register Transfer Level design concepts and their application in verification
EDA Tools: Experience with electronic design automation tools and simulators for effective design verification
Debugging: Demonstrated ability to analyze and resolve moderately complex verification issues with limited supervision
Communication Protocols: Working knowledge of standard interfaces such as I2C, SPI, and UART, and their verification requirements

Preferred Education and Experience

Bachelor's or Master's degree in Electrical Engineering, Electronics and Communications Engineering, Computer Engineering, or related field
2-4 years of relevant experience in digital design verification

Job Req Type: Graduate JobRequired Travel: No","hiringOrganization":{"@type":"Organization","name":"Analog Devices","sameAs":"https://www.analog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Philippines, Cavite, GTC","addressCountry":"Philippines","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Prinicipal, Machine Learning Engineer","datePosted":"2025-09-19","description":"

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

About The Team

The Enterprise Data Science and Innovation team is driving the future of artificial intelligence at Workday. We develop breakthrough solutions using the latest GenAI technology stack while building, maintaining, and monitoring GenAI based solution and ML models that deliver game-changing insights to power critical business functions across Sales, Marketing, Finance, Customer Experience, and other key organizational areas.

Our team consists of diverse and passionate data scientists and ML engineers who are committed to delivering Advanced Analytics insights that directly impact both revenue growth and operational efficiency. We foster a collaborative, supportive work environment where innovation thrives and team members genuinely enjoy working together to solve complex challenges.

About The Role

As a key member of our fast-moving team, you will have the unique opportunity to define and execute the vision for AI and LLM-based systems at scale.You will be at the forefront of developing next-generation AI and Large Language Model based solution that transform how Workday delivers intelligent solutions to our customers and internal stakeholders. We are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives while architecting and building robust, scalable AI/LLM platforms from the ground up.

About You

Basic Qualifications

12–15+ years in software, solution, or enterprise architecture with hands-on delivery of production-grade AI/ML systems
Architect, design, and implement production systems in Python (full-stack experience a plus)
Deep expertise in cloud architecture on at least one hyperscaler (AWS, Azure, GCP) with ability to design and optimize cloud-native AI workloads
Proven MLOps and ML platform experience: data pipelines(PySpark), model lifecycle (training, evaluation, deployment), CI/CD, and monitoring
Working knowledge of Generative AI / LLMs: prompting, fine-tuning, and rapid prototyping
Strong foundation in SaaS, multi-tenant architectures, microservices, and APIs—particularly around integrating AI into products and workflows
Excellent communication skills: able to engage both executives (whiteboarding) and engineers (deep technical dives)
Solid understanding of security, privacy, and compliance considerations in enterprise AI (e.g., data governance, model safety)
Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent; advanced degrees or equivalent experience also considered
Mentor and guide engineers from junior to senior levels, fostering technical excellence
Skilled at presenting complex technical topics at both abstract and implementation levels

Preferred Qualfications

Experience with Agentic AI/orchestration frameworks (tool use, lifecycle, interoperability)
Familiarity with LangChain, LLMOps tools, vector search/RAG, retrieval pipelines
Knowledge of Responsible AI practices, including governance, risk, human-in-the-loop, and auditability in enterprise settings
Consulting or industry solutions background, with ability to map domain needs to AI architectures
Recognized technical leadership through publishing, mentoring, or internal standards contributions
Experience aligning AI/ML with enterprise roadmaps and platforms (e.g., Databricks)
Open-source contributions or significant personal technical project

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote \"home office\" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

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About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Staff Engineer – Machine Learning

Job Description

We are seeking a highly skilled Staff Machine Learning Engineer with a strong background in Machine Learning and Software Engineering to join our team. In this role, you will collaborate closely with product managers, applied scientists, and engineers to design, implement, and scale ML-powered systems that extract and reason over information from complex, unstructured data sources—such as documents, web screens, and automation workflows. Your work will play a key role in enabling intelligent, context-aware assistants and task automation agents that understand user intent and deliver meaningful outcomes.

Key Responsibilities

Build intelligent agentic systems that combine document understanding, retrieval, and LLM-based reasoning to support context-aware conversational workflows.
Design and implement scalable Agentic RAG pipelines that orchestrate unstructured data preprocessing, vector store integration, and LLM prompting for accurate, grounded responses.
Develop modular ML components for layout analysis, information extraction, dialogue management, and tool invocation within multi-turn, goal-driven conversations.
Integrate conversational agents with enterprise data sources, APIs, and downstream automation workflows to enable end-to-end task execution.
Craft dynamic prompting and memory strategies to maintain context, reduce hallucination, and improve relevance in long-form or multi-turn queries.
Collaborate cross-functionally with product managers, UX designers, and platform engineers to define agent behavior and ensure seamless user experiences.
Monitor and continuously improve system performance, including response quality, retrieval precision, latency, and task success rate using real-world feedback.
Drive data curation efforts including synthetic generation, annotation workflows, and hard example mining to improve agent robustness and generalization.
Establish best practices for evaluating agent behavior, including human-in-the-loop review processes, regression testing, and safety guardrails.
Contribute to infrastructure and MLOps pipelines that support model experimentation, deployment, and monitoring in production environments.

Qualifications / Expectations:

Bachelor’s or Master’s Degree in Computer Science, Data Science, or a related technical field. Advanced degrees are a plus.
5–7+ years of hands-on experience in building and deploying machine learning models, with a strong focus on document intelligence, NLP, or Generative AI.
Proven experience developing and productionizing ML systems for unstructured data processing, including document parsing, table extraction, and layout analysis.
Proficiency with modern ML frameworks such as PyTorch or TensorFlow, and experience with OCR and document processing tools (e.g., Tesseract, AWS Textract, PDFMiner, LayoutParser).
Strong experience with LLMs and Retrieval-Augmented Generation (RAG) architectures, including practical knowledge of LangChain, LlamaIndex, Haystack, or similar frameworks.
Experience building ML pipelines and implementing MLOps best practices to support training, validation, deployment, and monitoring of models at scale.
Hands-on experience with cloud ML services (e.g., AWS SageMaker, Azure ML, Google Vertex AI) for training and inference.
Solid programming skills in Python, with working knowledge of SQL
Experience with containerization (Docker), orchestration (Kubernetes), and model serving technologies (e.g., Triton Inference Server, ONNX Runtime, TorchServe) in production environments.
Knowledge of model optimization techniques (e.g., quantization, pruning, distillation) to improve inference efficiency on cloud or edge devices.
Strong problem-solving abilities, with a track record of delivering scalable, high-impact ML solutions for complex, real-world problems.
Excellent communication skills and ability to work autonomously in a fast-paced, collaborative environment.
Understanding on knowledge graphs and graph based information retrieval
Experience designing and integrating conversational agents with context memory, function/tool calling, and dynamic prompting strategies.
Familiarity with vector stores (e.g., FAISS, Pinecone, Weaviate) and search/retrieval mechanisms for grounding LLM outputs.

Nice To Have:

Experience in fine-tuning large language models (LLMs) and applying GenAI techniques in parsing unstructured data.
Experience with dialogue management systems or conversational frameworks (e.g., Rasa, Dialogflow, or custom pipelines) for building intelligent agents.
Experience with distributed training techniques to optimize large-scale model training across multiple GPUs or cloud environments.
Understanding of prompt engineering best practices and few-shot or chain-of-thought prompting for improving agent behavior in GenAI systems.
Background in open-source contributions or research related to document AI, LLM applications, or multi-modal learning.
Familiarity with CI/CD pipelines for ML, automated model versioning, and monitoring tools for performance and drift in production models.

All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.

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