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Software Engineer (Machine Learning)
Software Engineer (Machine Learning)-August 2024
Menlo Park
Aug 9, 2025
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Software Engineer (Machine Learning)

  Summary:

  Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

  Required Skills:

  Software Engineer (Machine Learning) Responsibilities:

  Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems

  Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection

  Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models

  Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools

  Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques

  Receiving general instruction from supervisor, code deliverables in tandem with the engineering team

  Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

  $147,368.00-$158,000.00 per year + bonus + equity + benefits. Individual pay within the stated range is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits

  Minimum Qualifications:

  Minimum Qualifications:

  Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and completion of a graduate-level course, research project, or internship involving each of 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

  Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark

  Developing and debugging in C/C++ and Java

  Scripting languages such as Perl, Python, PHP, or shell scripts

  C, C++, C#, or Java

  Python, PHP, or Haskell

  Relational databases and SQL

  Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

  Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting

  Build highly-scalable performant solutions

  Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction

  Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

  Industry: Internet

  Equal Opportunity:

  Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

  Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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