Posted on :
16 Jan, 2018
16 Jan, 2018
The Facebook AI Research (FAIR) Residency Program is a one-year research training program with Facebook’s AI Research group, designed to give you 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. We also encourage collaborations beyond the assigned mentor. The research will be communicated to the academic community by submitting papers to top academic venues (NIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.), as well as open-source code releases. Visit the FAIR research page for examples of research performed in FAIR .
The AI research residency experience is designed to prepare you for graduate programs in machine learning, or to kickstart a research career in the field. This is a full-time program that cannot be undertaken in conjunction with university study or a full-time job.
We encourage applications from people who have a strong technical background and are passionate about AI research. Prior experience in machine learning is certainly a strength but we seek people from a diverse range of backgrounds, including areas ostensibly unrelated to machine learning such as (but not limited to) math, physics, finance, economics, linguistics, computational social science, and bioinformatics.
Accepted research residents will be based in Facebook Menlo Park and New York locations. If a candidate requires a visa to work in the US, we will explore what options are available once they are accepted onto the program.
To apply to the 2018 Facebook AI Residency Program, you will need to complete the application and submit the following items:
Note: All materials must be in PDF format.
Please include details of: (i) research you have undertaken and publications that resulted; (ii) any Machine Learning competitions you participated in and their outcomes; (iii) details of significant coding experience and links to any open-source repositories. Please try to focus on impact.
In a maximum of 2 pages, describe why you wish to participate in the program. Convey your previous experience in AI, interest in research, and long-term plans. We do not require a specific format, but encourage you to value readability (e.g. not go below 10 point fonts and 1 inch margins) and use your best judgment.
Include transcripts for all degrees completed. If applying from a non-US school, please append a conversion of your grades to US GPA equivalent (this tool may be helpful: https://www.foreigncredits.com/resources/gpa-calculator/, although this should not be considered an endorsement).
How to Apply
Interested and qualified candidates should Click Here to Apply