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Software Engineer - Machine Learning
Software Engineer - Machine Learning-May 2024
Menlo Park
May 20, 2026
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 diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.

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

  Demonstrates good judgment to develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.

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

  Adapt standard machine learning methods to best exploit modern parallel environments (e.g.

  distributed clusters, multicore SMP, and GPU).

  Minimum Qualifications:

  Minimum Qualifications:

  Master’s degree in Computer Science, Engineering, or a related field and 24 months of experience in the job offered or in a computer-related occupation. Requires 24 months of experience involving the following: 1. Coding in at least one of the following industry-standard languages:

  C, C++, Java, or C#

  Relational databases and SQLAlgorithmsMachine Learning Framework(s): PyTorch, MXNet, or TensorflowMachine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systemsTranslating insights into business recommendationsPython, PHP, or HaskellMachine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.Public Compensation:

  $186,161/year to $194,000/year + bonus + equity + benefits

  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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