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Machine Learning Engineer - Behavior Models for Road Users
This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians. These agents populate Zoox's simulations and must be indistinguishable from re
- Company
- Zoox
- Location
- Foster City, CA
- Status
- Open
- Posted
- 2026-07-23T04:48:58.184+00:00
Zoox's Offline Driving Intelligence team is hiring a Machine Learning Engineer to develop behavior models for road users including cars, bicycles and pedestrians. The models populate Zoox simulations; they must resemble real road users while being controllable and promptable toward rare, adversarial, safety-critical behaviors. The role involves novel ML pipelines and models to predict other agents' behavior and plan the ego vehicle's actions. The posting lists no specific qualifications. Work is hybrid in Foster City, California, and collaborates with Planner, Simulation and Validation teams.
Original job posting