Visiting Researcher, AI Mentorship Program (PhD) Full-time

Visiting Researcher, AI Mentorship Program (PhD)

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Pittsburgh, PA • Menlo Park, CA • Seattle, WA • New York, NY • San Francisco, CA + 4 more
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Meta is seeking Visiting Researchers through a short-term contract to join Meta AI. 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 deep learning, computer vision, audio and speech processing, natural language processing, machine learning, 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 work in collaboration with Meta and their university for the duration of the 1-2 year program. Students will be expected to work onsite at a Meta office near their university. The AI Mentorship Program will begin fall 2025. Participants will work part-time during the academic school year and full-time over the summer break.

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 research projects.

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 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).
• Research experience in Computer Vision, Machine Learning, Natural Language Processing, Optimization, Speech, Safety & Alignment, Embodied AI, 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 workshops or conferences.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

$56.25/hour to $137,000/year + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com .