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  • Research Scientist, Monetization Generative AI…

    Meta (New York, NY)



    Apply Now

    Summary:

    Meta is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI as well as applying AI to the Meta Platforms products. Individuals in this role are expected to be recognized experts in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning.

    Required Skills:

    Research Scientist, Monetization Generative AI (PhD) Responsibilities:

    1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies

    2. Conduct research to advance the science and technology of intelligent machines

    3. Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities)

    4. Devise better data-driven models of human behavior

    5. Contribute to and apply research that advances Meta Platforms products

    6. Conduct and collaborate on research projects within a globally-based team

    Minimum Qualifications:

    Minimum Qualifications:

    7. 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

    8. Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

    9. Research background in machine learning, deep learning, computer vision, or related fields

    10. Experience in developing and debugging in C/C++, Python, C#, or similar programming language

    11. Experience manipulating and analyzing data from varying sources

    12. Experience in theoretical and empirical research and in addressing research problems

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

    Preferred Qualifications:

    Preferred Qualifications:

    14. Research experience in Video understanding and generation

    15. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

    16. Experience working and communicating cross functionally in a team environment

    17. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, ICCV, or similar

    18. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

    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].

     


    Apply Now



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