Zoox
Contract Student Worker – AI Validation and Benchmarking Engineer (40hrs / week Full-Time)
Foster City, CA · On-site · Intern
- Discipline
- Mechanical
- Industry
- Automotive
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Zoox Internships
Contract Student Worker role at Zoox in Foster City, CA focused on supporting AI validation and benchmarking tasks for end-to-end validation pipelines and datasets; part-time, 40 hours per week, aimed at student engineers working within an autonomous-vehicle context.
Contract · Day shift
Required
- test datasets
- benchmarks
- agent accuracy
- routing decisions
- classification labels
- structured output fields
- validation pipeline
Preferred
- AI/ML tooling
- data quality
- test automation
- Python
- lab/bench testing
Employer description
About Zoox
Zoox is an autonomous ride-hailing 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
This role requires supporting the end-to-end validation pipeline for AI tools: maintaining test datasets, running benchmarks, and measuring agent accuracy across routing decisions, classification labels, and structured output fields.
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