About the Student Worker Machine Learning Engineer Data role
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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.
Salary estimate
$111,000 – $150,000/yr
Provided by the employer.
Skills for this role
Machine LearningLLMAutomation
Resume tips for Student Worker Machine Learning Engineer Data applicants
Lead with measurable achievements relevant to Student Worker Machine Learning Engineer Data (numbers, scope, impact).
Mirror the exact keywords from the Student Worker Machine Learning Engineer Data posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Machine Learning, LLM, Automation).
Keep it to one page for early-career, two pages for senior Student Worker Machine Learning Engineer Data candidates.
Interview preparation
Prepare concrete STAR-format stories that show Student Worker Machine Learning Engineer Data outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Student Worker Machine Learning Engineer Data problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About zoox
Zoox is actively hiring on Jobedly. Explore their open roles and what it's like to work there.