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The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with artificial intelligence research while working in Meta AI. This program is designed for applicants who seek advanced experience in artificial intelligence research, under the mentorship of an established researcher, with the long-term goal of obtaining an AI research scientist/engineer role. The AI Residency application is open to all fields of study, including areas ostensibly unrelated to machine learning such as (but not limited to) math, physics, finance, economics, linguistics, computational social science, neuroscience and bioinformatics. We seek people from a diverse range of technical backgrounds who have prior coding experience and are passionate about AI research. Candidates for the residency should have a foundational knowledge in ML and AI research, and have plans to pursue a career in research after completing the program. Candidates who already hold a PhD should consider other roles at Meta.During your residency, we will pair you with an AI researcher who will act as your mentor and help guide your project. With your team, you will pick a research problem of mutual interest and then devise new AI techniques to solve it. We also encourage collaborations beyond the assigned mentor. The research will be communicated to the academic community by submitting papers to top academic venues (for example, NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.), as well as open-source code releases and/or product impact. This is a full-time, in person, 12-month program that cannot be undertaken in conjunction with university study or another job.Applications will close on Tuesday, January 17, 2023 at 5pm Pacific Time. The program will start in July 2023.
AI Residency Program (University Grad) Responsibilities:
- Learn how to perform research in deep learning and AI.
- Understand prior work and existing literature.
- Work with mentors to identify problem(s) of interest and develop novel AI techniques.
- Translate ideas into practical code (in frameworks such as PyTorch).
- Share results in the form of an academic paper, open-source project, or Facebook products.
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a Bachelor’s degree in a STEM field such as Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or equivalent practical experience.
- Coding experience in a programming language, such as Python or C/C++.
- Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Exposure to the field of AI research as demonstrated by research projects, university coursework, or self-guided study. Elaboration on these experiences should be included in the candidate personal statement.
- Completed coursework in: Linear Algebra, Probability, Calculus, or equivalent.
- Knowledge in learning platforms such as PyTorch, TensorFlow, or Jax.
- Significant contributions to open-source projects, demonstrating strong math, engineering, statistics, or machine learning skills.
- Experience communicating complex research in a clear, precise, and actionable manner.
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