Machine Learning Engineer - ML Agents and Planning
Zoox · Hybrid
MeritLog read this listing from Zoox's Lever job board and last checked it on September 8, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $199,000 - $270,000
- Location
- Foster City, CA
- Occupation
- Computer Systems Engineers/Architects(O*NET 15-1299.08)
Hiring context
How this role compares at Zoox
Zoox has 242 live roles in MeritLog’s catalog across 11 job families, and 47 of them are in data & analytics. 228 of those listings publish a pay range, a disclosure rate of 94%.
This role's posted range of $199,000 - $270,000 sits above 57% of the 221 other Zoox roles quoted over the same currency and period.
Zoox concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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.