Senior/Staff ML engineer at Wayve advancing reinforcement learning for end-to-end autonomous driving models — designing offline/off-policy RL and reward-guided post-training methods, running large-scale experiments and closed-loop evaluations, and productionizing them in the ML stack. Core stack: Python and PyTorch, based in the Sunnyvale office on a hybrid policy.
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