• Fundamental AI Research Scientist - FAIR (PhD)

    Meta (Menlo Park, CA)


    Summary:

    Meta is seeking a Research Scientist to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. You will use your recognized expertise in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly and including areas such as large langauge models, reinforcement learning. You will have influence and impact through keen interests in producing new science to understand intelligence and technology to make computers more intelligent.

    Required Skills:

    Fundamental AI Research Scientist - FAIR (PhD) Responsibilities:

    1. Perform research to advance the science and technology of intelligent machines

    2. Design, develop, and apply machine learning algorithms to model complex social phenomena, including human social interactions, cognition, and behavior.

    3. Work towards long-term research goals, while identifying intermediate milestones

    4. Influence progress of relevant research communities by producing publications

    5. Contribute research that can be applied to Meta's product development

    6. Open source high quality code and produce reproducible research

    7. Design and evaluate novel architectures for socially aware agents that can learn from human social interactions, adapt to changing social contexts, and exhibit advanced social intelligence in dynamic scenarios.

    Minimum Qualifications:

    Minimum Qualifications:

    8. 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.

    9. Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta.

    10. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, and/or EMNLP or similar.

    11. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.

    12. Experience in developing and debugging in Python or similar programming languages.

    13. Experience communicating research for public audiences of peers.

    14. Experience in theoretical and empirical research and for addressing research problems

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

    Preferred Qualifications:

    Preferred Qualifications:

    16. 1+ years of work experience in a university, industry, or government labs, in a role with primary emphasis on AI research

    17. Experience collaborating in a team environment on research projects.

    18. Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, or coding competitions.

    19. Experience holding a postdoctoral, faculty, industry, or government researcher position

    Public Compensation:

    $117,000/year to $173,000/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].