Part-Time Student Worker Automation & Behavioral Science Engineer

@ Zoox

Part-Time Student Worker Automation & Behavioral Science Engineer

Posted 1 month ago

This job is still taking applications, but it's been up a while.

About the job

Zoox is developing autonomous electric vehicles for safer, sustainable urban mobility. This role offers hands-on experience in building validation systems and working on open-ended research projects.

Requirements

Relevance to engineering or CS
Strong Python skills
Data manipulation (SQL, Pyspark)
Foundation in machine learning
Effective communication skills

Qualifications

Pursuing B.S
or M.S
in relevant field
Interest in autonomous vehicles
Ability to work 40 hrs/week

Full job description

About Zoox

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

About Our Part Time Student Worker Program

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. 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.

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.

$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.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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