Literature research of SOTA in RSI, physics AI foundational models, autonomous driving foundational
Design new data and post-training recipe to RL the driver with the critic model and world model in
Coding and implementing the RSI system
Inspect training results and ablation studies to iterate the algorithm design

🎯 Requirements

Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative
Depth in foundational AI model post-training, especially RL
Fluency in using AI coding agents, fluency in one of the RL training framework such as Rex, Verl
Fluency in AI model training basics such as transformer architecture, hyperparameter tuning
Familiarity with autonomous driving, physics AI, VLA, or world models

🎁 Benefits

Interns are eligible to participate in the Company's generous benefits programs, subject to
Competitive hourly pay

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