Data Scientist, Fleet Orchestration Algorithms
USD 177,000–217,000 / year
- Company
- Zoox
- Location
- Foster City, CA
- Work mode
- Office location (mode not stated)
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Not specified
- Employment
- Full-time
- Field
- Data & AI / Data science
- Stated pay
- USD 177,000–217,000 / year
- Posted
- 2026-10-21 (25 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Lever
Machine learning
About the role
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road. You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll…
Excerpt only. Read the full description and apply at the original posting on Lever. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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