Software Engineer, Machine Learning
Meta.com
214k - 240k USD/year
Office
Menlo Park, CA
Full Time
Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
Develop and implement advanced machine learning models for our recommendation system, enhancing user experience by delivering personalized advertisement.
Conduct rigorous data analysis and apply statistical techniques to understand user behavior and model performance.
Collaborate with cross-functional teams (engineering, product management, design) to integrate ML models into our product and optimize their performance.
Requires a Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field
Requires completion of a university-level course, research project, internship, or thesis in the following:
Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
Translating insights into business recommendations
Developing and debugging in C, C++, and Java
Scripting languages: Perl, Python, PHP, or shell scripts
C, C++, C#, or Java
Python, PHP, or Haskell
Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
Distributed systems including sharding, consistency, and availability
Data structures and algorithms
Researching skills to find, define, and solve Machine Learning and engineering problems
Mathematical foundations of Calculus, Statistics, and Linear Algebra
Ability to design experiments and evaluate model performance
Data science skills including processing sampling, sketching, and distributed processing of large scale databases, graphs, and data streams for purposes of scalable statistical description, querying, pattern mining, and learning
Programming methodologies (functional and object-oriented) and Design Patterns (Builders, Fluent API, Publish/Subscribe, State, Memento, Promise)
Design test cases to detect errors in code by applying systematic criteria and write code predicates to validate the inputs and outputs of a potential solution to a program problem
Minimum Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.$214,032/year to $240,240/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Software Engineer, Machine Learning
Office
Menlo Park, CA
Full Time
214k - 240k USD/year
October 17, 2025