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 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.Table of Content
Facebook, Inc. is an American online social media and social networking service company based in Menlo Park, California. It was founded by Mark Zuckerberg, along with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz and Chris Hughes. It is considered one of the Big Four technology companies along with Amazon, Apple, and Google. The Facebook service can be accessed from devices with Internet connectivity, such as personal computers, tablets and smartphones. After registering, users can create a customized profile revealing information about thems... read more
Residents will be paid a competitive salary. Residents will also:
Duration of Program:
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.
To apply, complete the application in the Program Webpage (Link below) and include the three required documents in PDF format. Any applications or late materials after this date will not be considered.
If your application passes an initial screening, we will contact you to request a letter of recommendation. Following this, we may want to interview you in person over video conference.
Candidates can apply for all locations through our Careers site.
For more details, visit Facebook website