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Research Scientist, Reinforcement Learning; PhD

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Meta
Full Time position
Listed on 2026-02-14
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Artificial Intelligence, Biomedical Science
Salary/Wage Range or Industry Benchmark: 122000 - 181000 USD Yearly USD 122000.00 181000.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist, Reinforcement Learning (PhD)

Summary

The AI Research Scientist role conducts cutting-edge research and develops advanced machine learning models—particularly in large language models, and recommendation systems—to drive innovation in content and user understanding, retrieval, and ranking. These deliverables directly enhance Meta’s products by powering more accurate, efficient, and personalized recommendations across Facebook, Instagram, Threads, and other platforms. By pushing the boundaries of AI, the role supports Meta’s business growth, improves user experiences, and enables scalable solutions that benefit Meta’s customers and people.

Required

Skills

Research Scientist, Reinforcement Learning (PhD) Responsibilities:

  • Collaborate, and execute on research that pushes forward the state of the art in large language model research

  • Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results

  • Contribute to publications and open-sourcing efforts

  • Help identify long-term research goals as well as intermediate milestones

  • Prioritize research that can be applied to Meta's product development

  • Minimum Qualifications
  • Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

  • Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields

  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

  • Preferred Qualifications
  • Experience with applying reinforcement learning techniques to production scale systems

  • Experience in ranking, recommendation, or auction systems

  • Prior work bridging academic research and real-world applications

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences

  • Experience working and communicating cross functionally in a team environment

  • Public Compensation

    $122,000/year to $181,000/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

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