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Facebook Residency Program – Artificial Intelligence (AI)

Facebook Residency Program – Artificial Intelligence (AI)

Europe 31 Jan 2020
for9a Mina7

for9a Mina7

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OPPORTUNITY DETAILS

Total reward
0 $
Association
Host Country
Deadline
31 Jan 2020
Study level
Opportunity type
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

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

The program will pair you with an AI Researcher and Engineer who will both guide your project. With the 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 and/or product impact.

The AI Residency experience is designed to kickstart a career in the field. This is a full-time program that cannot be undertaken in conjunction with a university study or a full-time job.

People who have a strong technical background and are passionate about AI research. Prior experience in machine learning is certainly a strength, but 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, neuroscience, and bioinformatics are also encouraged to apply.

For candidates interested in working in Menlo Park, New York, or Seattle, please apply here. For candidates interested in working at the London location, please apply here. If applying to both, you may use the same application materials. Only complete applications will be considered.

For more information click here.

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