Karl Cobbe

Research Scientist at OpenAI

Palo Alto, California, United States
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Summary

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Rockstar
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Top School
Karl Cobbe is a research scientist at OpenAI with eight years of experience bridging machine learning research and product-grade software engineering. Based in Palo Alto, he progressed from a Machine Learning Fellow to a Research Scientist since joining OpenAI in 2018, contributing at the intersection of cutting-edge ML and deployable systems. His background includes full-stack development and content-generation tooling for education at Art of Problem Solving and mobile platform engineering at Chatous, giving him a rare blend of research rigor and production delivery. Early experience in hardware verification and applied physics cultivated a strong foundation in formal methods, testbench design, and signal analysis. He holds a BS in Computer Science with an AI focus from Stanford and is known for shipping fast, reliable iterations in both research and consumer-facing contexts. Colleagues would describe him as a technically versatile engineer who translates complex research into practical, scalable implementations.
code8 years of coding experience
job3 years of employment as a software developer
bookPhillips Exeter Academy
bookBS Computer Science Artificial Intelligence, BS Computer Science Artificial Intelligence at Stanford University
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Github Skills (11)

deep-reinforcement-learning10
pytorch10
benchmark10
openai10
reinforcement-learning10
paper9
deep-learning9
procedural-generation9
procedural8
gradient8
machine-learning1

Programming languages (3)

C++TeXPython

Github contributions (5)

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openai/train-procgen

Dec 2019 - Jun 2020

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
Contributions:9 commits, 2 PRs, 6 pushes in 5 months
leveragingproceduralreinforcement-learningdeep-reinforcement-learningprocedural-generation
Code for the paper "Phasic Policy Gradient"
Contributions:2 commits, 1 push, 1 comment in 3 months
policygradientpolicy-gradientphasic-policy-gradient
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