Develop controllable & realistic adversarial agents for more efficient simulation based
Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World

🎯 Requirements

Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related
Proficient in Python Coding and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow /
Experience with Machine Learning and Deep Learning
Hands-on experience with post-training and reinforcement learning (preferred)
Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures
Experience with autonomous driving or robotics (preferred)

🎁 Benefits

Interns are eligible to participate in the Company’s generous benefits programs, subject to

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