Z
Zoox

Machine Learning Engineer - ML Agents and Planning

Machine Learning Engineering
Foster City, CAhybrid
The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.
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Key information

Full-timePosted 4 hours ago
Machine LearningMachine Learning Engineer

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