The Facebook AI Research (FAIR) Residency Program is seeking applications from people who have a strong technical background and are passionate about AI research. The AI Residency experience is designed to kickstart a career in the field. This is a full-time program that cannot be undertaken in conjunction with university study or a full-time job.
About The Facebook AI Research (FAIR) Residency Program
The Facebook AI Research (FAIR) Residency Program is a one-year research training program with Facebook’s AI Research group. The program will give participants hands-on experience of machine learning research. The program will pair you with a senior researcher or engineer in FAIR, who will act as your mentor. Together, you will pick a research problem of mutual interest and then devise new deep learning techniques to solve it.
Eligibility Criteria
Prior experience in machine learning is certainly a strength but the program seeks people from a diverse range of backgrounds. This includes areas ostensibly unrelated to machine learning such as (but not limited to) math, physics, finance, economics, linguistics, computational social science, and bioinformatics.
Responsibilities
All participants will have the following 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).
- Write up research results in the form of an academic paper or open-source projects.
Duration of the Facebook AI Residency Program:
The residency program will start in August 2021 and will end August 2022.
How to Apply
To apply, visit the program webpage.
If your application passes an initial screening, you will receive an email to request a letter of recommendation.
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