We are now accepting applications for our third class of OpenAI Scholars, a 4-month full-time program where we provide stipends and mentorship to 8 individuals from underrepresented groups to study deep learning and open-source a project. The second class of Scholars recently released their projects and presented their work at the 2019 Scholars Demo Day.
## Why we’re doing this
Diversity is core to AI having a positive effect on the world—it’s necessary to ensure the advanced AI systems in the future are built to benefit everyone. While we hope that some of the scholars will join OpenAI, we want this program to improve diversity in the field at large.
2019 Spring Scholar Janet Brown presenting Visualizing & Evaluating Image Synthesis GANs using the Techniques of Activation Atlases
2019 Spring Scholar Jonathan Michaux presenting Using Intrinsic Motivation to Solve Robotic Tasks with Sparse Rewards
9/23/2019 Open applications 11/15/2019 Close applications 12/13/2019 Notify all accepted applicants 2/3/2020 Welcome dinner—cohort start (onsite in SF) 5/29/2020 Final project due—cohort end 6/5/2020 Demo day (onsite)
## What we’re looking for
We’re open to _all experience levels and backgrounds_ that meet the below criteria—it’s a common myth that you need a PhD to work in AI (many OpenAI employees don’t have one).
We look for people who are comfortable writing software (2+ years in software engineering), but no previous machine learning experience is required. This is a remote program open to anyone already with US work authorization located in US timezones. We ask all Scholars todocument(opens in a new window)their experiences studying deep learning to hopefully inspire others to join the field too.
You are eligible to apply if:
We’ll use these criteria for selection:
Applications will be evaluated on a rolling basis.
_Questions? [email protected]_
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