Part-Time Student Worker Automation & Behavioral Science Engineer
Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.
About the job
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
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
- Available for a 6 month project
- Able to commit to at least 40 hours per week
- Ability to commute on-site to Foster City
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
Skills
Python, SQL, Pyspark, Scala, Machine Learning, Statistics, RAG, LLMs, Vision-Language Models
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