Jimmy Yang

Principal Product Manager at Amazon Web Services (AWS)

New York, New York, United States
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Summary

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Rockstar
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Top School
Jimmy Yang is an AI researcher with six years of experience building embodied intelligence, vision-language-action models, and video generation systems, currently developing world models and planners at Waymo Research. He earned a PhD in Electrical and Computer Engineering from Princeton, where his work on constrained and sample-efficient reinforcement learning translated to real-world traffic control and safe autonomous vehicle learning. At Meta FAIR he led teams that produced benchmarks and platforms such as Partnr and Habitat 3.0, and built hierarchical stacks like Adaptive Skill Coordination and HomeRobot for long-horizon mobile manipulation. His research spans RL, LLMs, and VLA models with publications across NeurIPS, ICML, ICLR, EMNLP and ECCV, and he has demonstrated practical impact from legged-robot safety at Google to anomaly detection and domain adaptation in industry. He combines theoretical rigor with system-building—often closing the loop from simulation to physical robots—and focuses on safety, scalability, and personalization in real-world AI deployments.
code7 years of coding experience
job6 years of employment as a software developer
bookLowell High School
bookMaster of Business Administration - MBA, Master of Business Administration - MBA at University of California, Berkeley, Haas School of Business
bookUniversity of California, Los Angeles
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Stackoverflow

Stats
1reputation
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0answers
0questions
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Github Skills (25)

robotics10
ai-agent10
python10
simulator10
reinforcement-learning10
deep-learning10
ai10
deep-reinforcement-learning10
computer-vision10
3d9
audio9
nlp8
natural-language-processing8
pytorch8
llm7

Programming languages (3)

C++CMakePython

Github contributions (5)

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jimmytyyang/habitat-lab

Sep 2022 - Jun 2023

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
Contributions:63 pushes, 9 branches in 9 months
game-aisimulatorsdeep-learningembodied-aireinforcement-learning
Contributions:29 pushes in 3 months
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