Machine Learning Engineer - Vision Foundation Models
Before you apply
Listed location: Foster City, CA
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Stated pay: $254,000–$305,000 USD per year, as published by the employer.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by Zoox; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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.
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Frequently asked questions
Is the Machine Learning Engineer - Vision Foundation Models position at Zoox remote?
The Machine Learning Engineer - Vision Foundation Models role at Zoox does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Machine Learning Engineer - Vision Foundation Models role?
Zoox is hiring for a full-time Machine Learning Engineer - Vision Foundation Models position.
How do I apply for the Machine Learning Engineer - Vision Foundation Models position at Zoox?
You can apply for the Machine Learning Engineer - Vision Foundation Models role directly through Zoox's official application link provided on this page.
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