Automation & Behavioral Science Engineer, Zoox

• We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission
• 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
• You do not need to match every listed expectation to apply for this position

Desirable

• Zoox’s program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects
• 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)
• 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
• Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside