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Data & AnalyticsHybrid

Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)

Zoox · Hybrid

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Last seen by MeritLog September 10, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Zoox's Lever job board and last checked it on September 10, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
Not listed by source
Location
Foster City, CA

Hiring context

How this role compares at Zoox

Zoox has 243 live roles in MeritLog’s catalog across 11 job families, and 46 of them are in data & analytics. 227 of those listings publish a pay range, a disclosure rate of 93%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Support Zoox's Rules of the Road (RotR) program, where a miner + LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events, help develop and evaluate the VLM triagers - curating golden datasets, measuring precision/recall against expert triage, and extending automation to new regulations and data sources.

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