• Software Engineer, Machine Learning

    Meta (San Francisco, CA)


    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, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

    Required Skills:

    Software Engineer, Machine Learning Responsibilities:

    1. Innovate and implement cutting-edge deep learning algorithms and machine learning models for recommendation systems.

    2. Directly influence user acquisition and growth relevance by uncovering valuable insights from our data.

    3. The team is responsible for all the ML/Recommendation work, including core retrieval, core modeling, late stage ranking, and signal development.

    4. The team is also in charge of Family of Apps integrations, partnering with Modern Recommendation Systems and AI Infrastructure on leveraging state of the art AI technology, and cross-functional collaboration with product team to rapidly iterate and improve the user experience.

    5. The team has particular focus on Cold Start Users Recommendations, including techniques such as model debiasing, signal development, embedding development, responsiveness, and recommendation quality.

    6. Leveraging LLM and other state-of-the-art deep learning techniques to build recommendation systems is also a priority.

    Minimum Qualifications:

    Minimum Qualifications:

    7. Requires a Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Statistics, Machine Learning, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:

    8. 1.- Machine Learning Framework(s): PyTorch and Tensorflow

    9. 2. -Proven track record in research project/internship experience involved developing and implementing large scale machine learning models

    10. 3. -Machine learning, natural language processing, data mining, large language models (LLMs)

    11. 4. -Demonstrated experience with state-of-the-art deep learning technologies, particularly in applying causal inference, model debiasing to enhance model accuracy and fairness, familiarity with Low-Rank Adaptation (LoRA), embedding development, responsiveness and recommendation quality

    12. 5.- End-to-end, from ideation to analysis, with velocity and quality to move core business metrics

    13. 6.- Data pipeline technologies: Spark and Hadoop

    14. 7.- Developing and debugging in C, C++, C# and Java

    15. 8.- Scripting languages: Python, PHP, or shell scripts

    16. 9. Relational databases: SQL

    17. 10. -Software development tools: Code editors (VIM or Emacs), and revision control systems (GIT)

    18. 11. -Linux, UNIX, and OS including file manipulation and simple commands

    19. 12.- Distributed systems including sharding, consistency, and availability

    20. 13.- Building highly-scalable performant solutions

    21. 14.- Data structures and algorithms.

    Public Compensation:

    $178,360/year to $200,200/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].