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Key skills for this role
Set the technical direction of ML development for the future of our Planner
Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner
Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks
Develop new methods to leverage Zoox’s Foundation Models into the ML Planner
Provide technical mentorship to the broader group of ML developers at Zoox
Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments
Conference or Journal publications in Machine Learning or Robotics related venues
Prior experience with Prediction and Planning for autonomous vehicles
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Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
Full-time
Senior · 10+ years experience
Hybrid
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