• Visiting Researcher, AI Mentorship Program (PhD)

    Meta (Pittsburgh, PA)


    Summary:

    Meta is seeking Visiting Researchers to join Meta AI through a short-term contract.About Meta AI: We are committed to advancing the field of artificial intelligence by making fundamental advances in scientific methods and technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as machine learning, deep learning, computer vision, audio and speech processing, natural language processing, reinforcement learning, and computational statistics.This position is short-term employment for PhD students enrolled at the University of Washington, Carnegie Mellon University, University of California, Berkeley, or New York University’s Courant Institute of Mathematical Sciences (CIMS) or Center for Data Science (CDS). Students will collaborate with Meta and their university, working part-time during the academic school year and full-time over the summer break. Students will be expected to work onsite at a Meta office near their university. The duration of the AI Mentorship Program is one year, with the potential to extend through a second year depending on performance. Applications for the 2026-27 cohort will be open November 17 to January 9, and the program will begin fall 2026.

    Required Skills:

    Visiting Researcher, AI Mentorship Program (PhD) Responsibilities:

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

    2. Perform research that improves computational understanding and representation of data.

    3. Devise data-driven models of human behavior.

    4. Influence progress of relevant research communities by producing publications.

    5. Collaborate and increase productivity on existing Meta research projects.

    Minimum Qualifications:

    Minimum Qualifications:

    6. In the process of obtaining a PhD degree in a technical field such as Computer Science from the University of Washington, Carnegie Mellon University, University of California, Berkeley, or New York University’s Courant Institute of Mathematical Sciences (CIMS) or Center for Data Science (CDS)

    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. The primary academic advisor must be a tenure‑track or tenured faculty member at one of the universities mentioned above. Meta may, in its discretion, grant exception, where no potential conflict exists

    9. Research experience in Computer Vision, Machine Learning, Natural Language Processing, Optimization, Speech, Safety & Alignment, Recommendation Systems, Large Language Models, RAG, Graph/Sequence learning, User/Content Understanding, or Distributed Training

    10. Experience with Python, Lua, C++, C, C# and/or Java

    11. Experience with deep learning frameworks such as PyTorch

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

    Preferred Qualifications:

    Preferred Qualifications:

    13. Experience building systems based on machine learning and/or deep learning methods

    14. Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions

    15. Proven track record of achieving significant results as demonstrated by publications at leading conferences or workshops such as ICML, NeurIPS, ICLR, CVPR, ICCV, EMNLP, ACL, or similar

    Public Compensation:

    $56.25/hour to $137,000/year + 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].