Zoox · Engineering
Machine Learning Engineer - Vision Foundation Models
Zoox is hiring for this role, hybrid in Foster City, CA. Posted October 27, 2026. You apply on Zoox's own site.
- $254K – $305KPay range
- HybridWork arrangement
- Full-timeJob type
- Mid levelLevel (from the title)
How the pay compares
The middle of this posting's range is $280K, 5% above the $265K median for Machine Learning Engineer roles across 73 open AI postings that show pay.
About the job
From Zoox's job posting. Check the original for the latest details before applying.
The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin. In this role, you will design, train, and evaluate vision-based in-cabin perception models that understand passengers, objects, and behaviors inside the vehicle. These models support rider safety and the operations that keep each ride running smoothly.
You will independently own a model area end to end, from data curation and training through evaluation and deployment under real-time and compute constraints, working closely with partners across the company. Your work has a direct impact on rider safety and experience as Zoox scales its robotaxi service.
In this role, you will...
Qualifications
Bonus Qualifications
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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