Facebook AI Research Residency Program in USA

The Facebook AI Research (FAIR) Residency Program is a one-year research training program with Facebook’s AI Research group, intended to give you hands-on understanding of machine learning research.

The Fscebook AI research residency program is designed to develop you for graduate programs in machine learning, or to kickstart a research career in the field. This is a full-time program that can’t be attempted in conjunction with college consider or an all day work.


  • Facebook Menlo Park and New York

Host Organisation:

  • Facebook

Program Duration:

  • One Year

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.

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

Eligibility Requirements:

  • 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.

Documents Required:

  • CV/Resume:

    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.

  • Personal statement:

    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.

  • Grade transcript:

    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).

Application Deadline:

  •  January 26, 2018