Charles Schaff
Autopilot Engineer at Tesla
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCharles Schaff is an Autopilot Engineer at Tesla with nine years of experience bridging research and production in reinforcement learning, deep learning, and robotics. A recent PhD from TTIC, he developed expertise in co-optimization, shared autonomy, and robotic manipulation under Prof. Matthew R. Walter, and has applied RL/IL techniques at Google/DeepMind to real-world systems like libvpx rate control. He combines strong theoretical foundations from a BS in Math & CS with hands-on engineering across internships at Google and EPIC, plus work on kidney allocation algorithms, showing a knack for translating complex models into practical algorithms. Based in San Francisco, he is seeking research and engineering roles starting in the fall, uniquely positioned to move ideas from lab prototypes into safety-critical, deployed autonomy systems.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Toyota Technological Institute at ChicagoBachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at Washington University in St. Louis
Github Skills (14)
deep-reinforcement-learning8
arcade7
reinforcement-learning7
pytorch6
deep-learning6
machine-learning4
robotics4
kotlin4
artificial-intelligence3
sofa-framework3
python2
lcm1
docker1
docker-image1
Programming languages (5)
Github contributions (5)
cbschaff/dl
Dec 2018 - May 2021
Deep Reinforcement Learning library based on PyTorch
Contributions:232 commits, 13 PRs, 175 pushes in 2 years 6 months
pytorchdeep-learningreinforcement-learningdeep-reinforcement-learninglibrary-learning
cbschaff/NBP
Mar 2017 - Sep 2017
Contributions:3 releases, 6 commits, 5 pushes in 5 months
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