Contract Student Worker – AI Validation and Benchmarking Engineer (40hrs / week Full-Time)
Zoox
- Location
- Foster City, CA
- Work style
- Hybrid
- Job type
- Full time, Contractor
- Posted
- Oct 13
- 6 days ago
Career path
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About the company
Zoox
Automotive · 1,001 to 5,000 employees
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.
What you'll do
- Run and maintain the benchmark pipeline, analyzing results to identify routing errors and regressions across agent variants
- Build and expand ground truth datasets used to evaluate agent outputs against known-correct answers
- Identify and address gaps in benchmark validation and support building a more comprehensive evaluation infrastructure to improve validation prior to release
- Develop new evaluation dimensions such as label accuracy and structured output correctness beyond the existing team classification benchmarks
- Investigate failure modes in agent outputs and work with engineers to surface actionable improvements
- Write scripts and tooling to automate data collection, result parsing, and metric reporting
- Document findings, track benchmark trends over time, and present results to the team
What you need
- Currently enrolled in a B.S. or M.S. in Computer Science, Data Science, Engineering or a related field
- Available to commit to a minimum three-month assignment
- Able to commit to a minimum of 20 hours per week
- Able to work on-site at one of our office locations
- Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations
- Familiar with Cursor or Claude
- Familiar with Python
- Familiar with evaluation concepts: precision, recall, F1 score, and confusion matrices
- Comfortable working with structured data (CSV, JSON)
- Experience modifying or writing reproducible analysis scripts
- Prior exposure to LLM-based systems, prompt engineering, or AI agent evaluation
- Experience with Jira or Slack (e.g. ticketing systems, messaging apps)
Key skills
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