Deadline: January 26, 2018
Applications for the Facebook AI Research Residency Program 2018 are now open. 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..
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.
Benefits
Residents will be paid a competitive salary.
The residency is ideal preparation for applying to top graduate programs in machine learning. Exceptional performers are welcome to interview for full-time positions at Facebook.
Resident Responsibilities
- Learn how to perform research in deep learning and AI.
- Understand prior work and existing literature.
- Work with research mentor(s) to identify problem(s) of interest and develop novel AI techniques.
- Translate ideas into practical code (in frameworks such as PyTorch, Caffe 2).
- Write up research results in the form of an academic paper and submit to a top conference in the relevant area.
Eligibility
- Bachelors degree in a STEM field such as Mathematics, Statistics, Physics, Electrical Engineering, Computer Science, or equivalent practical experience.
- Completed coursework in: Linear Algebra, Probability, Calculus, or equivalent.
- Coding experience in a general-purpose programming language, such as Python or C/C++.
- Familiarity with a deep learning platform such as PyTorch, Caffe, Theano, or TensorFlow.
- Ability to communicate complex research in a clear, precise, and actionable manner.
Preferred Qualifications
- Research experience in machine learning or AI (as established for instance via publications and/or code releases).
- Significant contributions to open-source projects, demonstrating strong math, engineering, statistics, or machine learning skills.
- A strong track record of scholastic excellence.
Other requirements
- Applications are encouraged from people who have a strong technical background and are passionate about AI research.
- Prior experience in machine learning is certainly a strength but they 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, they will explore what options are available once they are accepted onto the program.
Application
To apply to the 2018 Facebook AI Residency Program, you will need to complete the application and submit the following items:
- CV/Resume (including links to GitHub, professional webpages, publications, or blogposts as applicable)
- Personal statement
- Academic grade transcript
Note: All materials must be in PDF format.
To apply, complete the application and include the three required documents in PDF format.
For more information, visit FAIR Residency Program.
