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Software Engineer, ML Training Optimization

Zoox · Foster City · Office location (mode not stated)

USD 177,000–270,000 / year

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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
Software Engineering / Software engineer (general)
Stated pay
USD 177,000–270,000 / year
Posted
2026-10-16 (30 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Lever

Machine learning

About the role

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Training Optimization initiatives and make the models that power autonomous driving trains faster, cheaper, and at greater scale? You will work with SOTA…

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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