Zoox
Software Platforms and Product
Part-TimeStudentWorkerAutomation&BehavioralScienceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Part-Time Student Worker Automation & Behavioral Science Engineer at Zoox. Skills: RAG pipeline, Autonomous vehicle behavior, Behavioral science. Design RAG pipeline. Build RAG pipeline”
What You'll Achieve.
Show it with data
Industry & Context.
Ambiguous problems; Open-ended problems
No proprietary use
What They're Looking For.
Must Have
B. S. or M. S. in quantitative field, Programming skills in Python, Solid data manipulation understanding, Solid foundation in machine learning, Solid foundation in statistics, Comfort operating independently, Excellent written communication, Excellent verbal communication, Teamwork skills, Collaboration skills, Currently pursuing B. S. or M. S., Available for 6 month project, Commit to at least 40 hours per week, Ability to commute on-site
Nice to Have
Experience with RAG systems, Experience with LLMs, Experience with vision-language models, Background in quantitative discipline, Prior research experience, Genuine interest in autonomous vehicles
What You'll Do.
Define empirical experiments
Run empirical experiments
Work through ambiguous problems
Work through open-ended problems
Communicate complex results
Communicate trade-offs
Communicate uncertainty
How You'll Work.
Team & Collaboration
Communicate to team; Communicate to stakeholders
Communication Scope
Written communication; Verbal communication; Convey complexity; Convey ambiguity
Full Job Description
## Project Overview 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 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 ## Qualifications 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 ## Bonus Qualifications 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 ## Program Requirements 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. ## Additional Information About Zoox Zoox is developing the first ground-up, fully autonomous veh
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