May 25, 2016
Team update
We’d like to welcome the latest set of team members to OpenAI (and we’re still hiring!)
Full-time
Marcin Andrychowicz. Marcin(opens in a new window) received 3 gold medals in the IOI(opens in a new window), and has been a top participant in programming competitions such as TopCoder(opens in a new window) and ACM-ICPC(opens in a new window). He’s been in deep learning for a year and has already made strong progress on neural memory architectures(opens in a new window).
Rafał Józefowicz. Rafał(opens in a new window) began his career in competitive(opens in a new window) programming(opens in a new window) and the finance industry. He’s now been in deep learning for a year and a half, and his results include the state-of-the-art language model(opens in a new window).
Kate Miltenberger. Kate(opens in a new window) has a versatile background, with experience across operations, office administration, user research, community, and support. She previously helped Academia.edu(opens in a new window) run smoothly.
Ludwig Pettersson. Ludwig(opens in a new window) was previously Stripe’s(opens in a new window) Creative Director, where he built and led the design(opens in a new window) team.
Jonas Schneider. Jonas(opens in a new window) did much of the engineering heavy lifting on OpenAI Gym(opens in a new window). A recent college graduate, he was previously an intern at Stripe, where he helped build Stripe CTF3(opens in a new window).
Jie Tang. Jie(opens in a new window) was an engineer at Dropbox for almost five years, where he led the team responsible for the core file sync technology running on hundreds of millions of desktops. Prior to that he worked in Pieter Abbeel’s robotics lab at Berkeley, working on autonomous helicopters, RGBD perception, and Starcraft bots.
Interns
Prafulla Dhariwal. Prafulla(opens in a new window) was a gold medalist in the IMO(opens in a new window), IPhO(opens in a new window), and IAO(opens in a new window). He’s currently an undergraduate at MIT, performing research on learning of invariant representations for speech and vision tasks.
Paul Christiano. Paul(opens in a new window) is a PhD student at Berkeley who has written extensively(opens in a new window) about AI safety. He received best paper and best student paper awards at STOC(opens in a new window) for research on optimization and(opens in a new window) online learning(opens in a new window).
