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.
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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Frequently asked questions
Is the Machine Learning Engineer - ML Agents and Planning position at Zoox remote?
The Machine Learning Engineer - ML Agents and Planning role at Zoox is an on-site or hybrid position.
What type of employment is the Machine Learning Engineer - ML Agents and Planning role?
Zoox is hiring for a full-time Machine Learning Engineer - ML Agents and Planning position.
How do I apply for the Machine Learning Engineer - ML Agents and Planning position at Zoox?
You can apply for the Machine Learning Engineer - ML Agents and Planning role directly through Zoox's official application link provided on this page.
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Zoox
WebsitePosted23 Jul 2026
Typefulltime
LevelMid-level
LocationFoster City, CA