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2026 Summer Intern, PhD, Machine Learning Research, Planning/Prediction

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The role

Research, implement, and evaluate state-of-the-art generative models for planning and prediction using JAX.
Design and run ML experiments to assess model performance and generalization across diverse driving scenarios.
Produce high-quality, thoroughly tested code and robust documentation.
Collaborate with research, product, and engineering teams to translate research concepts into practical solutions.
Pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field with experience in deep learning or reinforcement learning.
Demonstrate strong analytical and debugging skills, plus a collaborative and proactive mindset.

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