hirly

Zoox

Machine Learning Engineer - ML Agents and Planning

Foster City, CA

Apply through hirly

hirly scores this role against your resume, shows its reasoning, then writes a resume and cover letter for it and fills the application with you. Free to start — no card required.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
1 Sept 2026

Derived automatically from the posting. Sign up to see how the role scores against your own resume.

the posting

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.

Is this role actually a fit for you?

hirly answers with a score and its reasoning, then writes the resume and cover letter if you decide to go for it.

Score it against my resume
Machine Learning Engineer - ML Agents and Planning at Zoox — hirly