Senior / Staff Machine Learning Engineer - Behavior Models for Road Users

Zoox·Foster City, CA·Posted 17 December 2025

Apply with a tailored CV View on Zoox's site

About the role

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 real road users, yet fully controllable: promptable into the rare, adversarial, safety-critical behaviors we need to test against. This means the team’s models directly impact how fast Zoox can train, validate and ship its driving stack. Our team collaborates closely with Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents 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.

This is a summary of the advert. The full description and the application are on Zoox's careers site.

Apply faster with Prepper

A version of your CV tailored to this Senior / Staff Machine Learning Engineer - Behavior Models for Road Users role.
A cover letter written from your CV and this advert.
Prepper can fill in Zoox's application form and send it once you approve.
The application saved in your tracker, with reminders to follow up.

Start free

More roles at Zoox

Prepper is independent and not affiliated with Zoox. Roles are listed from the employer's public careers system and removed when they close.