Call for applications: The Facebook Artificial Intelligence Residency Program

The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with machine learning research while working in Facebook AI groups.
Applications are closed

The Artificial Intelligence (AI) Residency Program is a one-year research training position designed to give you hands-on experience with machine learning research while working in Facebook AI groups.

The program will pair you with an AI Researcher and Engineer who will both guide your project. As a team, 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 mentors. The research will be communicated to the academic community by submitting papers to top academic venues (for example: NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP etc.), as well as open-source code releases.

The AI Residency experience is designed to prepare you for graduate programs in machine learning or 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.

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 AI Residents will be based in Facebook Menlo Park and New York.

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.
Dateline for submission: 29 January 2019 at 5 PM PST
 
Source: Facebook

Illustration Photo: Analytics for e-commerce becomes better when AI and ML is being used. (credits: deepak pal / www.iqlect.com / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

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