Senior Machine Learning Engineer, Vehicle Interaction & Behavior Policy ML

About this job

Role overview: Autonomy MLE role focused on bridging perception and planning to develop and release robust learned driving policies. The primary objective of this role is to train, evaluate, and transition production-ready decision-making models into real-world autonomous navigation systems. In this hybrid role, you will report to the Technical Lead Manager. You will: Develop, evaluate, and release learned driving policies for complex navigation and yielding scenarios. Work cross-functionally at the intersection of perception and planning, translating multi-modal perception outputs into robust behavioral actions. Deploy learned models into closed-loop simulation environments, benchmark against strict safety metrics, and drive the transition of these models into production releases.…

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