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Key skills for this role
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
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
Currently pursuing a B.S. or M.S., in a relevant engineering field.
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Available for a 6 month project
Able to commit to at least 20 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.
$30 per hour.
This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
USD 3000 / hour
Contract
Mid
Hybrid
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