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Staff / Senior Staff Machine Learning Engineer - Collision Avoidance System

Zoox · Foster City · Hybrid

USD 291,000–409,000 / year

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Company
Zoox
Location
Foster City, CA
Work mode
Hybrid
Open to applicants from
On-site/hybrid: local candidates
Level
Lead / manager & above
Employment
Full-time
Field
Data & AI / Machine learning & AI
Stated pay
USD 291,000–409,000 / year
Posted
2026-11-04 (11 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Lever

Machine learning AI / ML engineering & research

About the role

The Collision Avoidance System (CAS) is Zoox's independent safety layer. It runs alongside our main autonomy stack, constantly watches for imminent collisions, and reacts within milliseconds to prevent or reduce them. By using different methods and data paths than the main stack, CAS gives our robotaxi a second, diverse line of defense in the most challenging dense urban environments. As a Staff or Senior Staff engineer, you will be the technical lead for CAS algorithms, with a focus on CAS perception. You will shape how CAS sees the world, combining interpretable geometric methods with machine learning, and you will own the architecture and roadmap that take these capabilities from idea to…

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