Contract Student Worker Automation & Behavioral Science Engineer
About The Position
Zoox is seeking a motivated graduate or upper-level undergraduate student worker to join our team, focusing on building and validating a driving risk assessment system, an experimental RAG system for proactively testing autonomous-vehicle behavior. In this role, you will design, build, and iterate on an end-to-end RAG pipeline for autonomy validation, owning it from prototype to demo. You will define and run empirical experiments that "show it with data" rather than relying on assumptions, work through ambiguous, open-ended problems with a researcher's mindset and a bias toward rapid iteration, and communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders.
Requirements
- Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering, CS, Physics, Neuroscience, Biology/Computational Bio, or similar)
- Strong programming skills in Python
- Solid data manipulation understanding (e.g., SQL, Pyspark, Scala)
- Solid foundation in machine learning and statistics
- Comfort operating independently under high uncertainty on open-ended problems
- Excellent written and verbal communication; able to convey complexity and ambiguity clearly
- Strong teamwork and collaboration skills
- Currently pursuing a B.S. or M.S., in a relevant engineering field.
- Available for a 6 month project
- Able to commit to at least 40 hours per week
- Ability to commute on-site to Foster City
- Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside.
Nice To Haves
- Experience with RAG systems, LLMs, or vision-language models (VLMs)
- Background in a quantitative discipline (Neuroscience, Physics, Computational Bio, etc.)
- Prior research experience taking ambiguous, end-to-end problems from zero to a result, independently
- Genuine interest in autonomous vehicles and Zoox's mission
Responsibilities
- Design, build, and iterate on an end-to-end RAG pipeline for autonomy validation, owning it from prototype to demo
- Define and run empirical experiments that "show it with data" rather than relying on assumptions
- Work through ambiguous, open-ended problems with a researcher's mindset and a bias toward rapid iteration
- Communicate complex results, trade-offs, and uncertainty clearly to the team and stakeholders
Benefits
- Eligible for a benefits package as offered by the vendor.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
