Visiting Researcher, AI Mentorship Program; PhD
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listing for:
Meta
Full Time, Part Time, Seasonal/Temporary
position
Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Computer Science, Artificial Intelligence
-
Education / Teaching
Data Scientist, Computer Science, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 137000 USD Yearly
USD
137000.00
YEAR
Job Description & How to Apply Below
Position: Visiting Researcher, AI Mentorship Program (PhD)
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.
Visiting
Researcher, AI Mentorship Program (PhD) Responsibilities
Perform research to advance the science and technology of intelligent systems.Perform research that improves computational understanding and representation of data.Devise data-driven models of human behavior.Influence progress of relevant research communities by producing publications.Collaborate and increase productivity on existing Meta research projects.Minimum Qualifications
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).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.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.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.Experience with Python, Lua, C++, C, C# and/or Java.Experience with deep learning frameworks such as PyTorch.Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.Preferred Qualifications
Experience building systems based on machine learning and/or deep learning methods.Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.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 Aff... (complete EEO statement)
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