Contract Student Worker Autonomy Safety Data Engineer
Boston, MA - USA
Job Summary
About Zoox
Zoox is an autonomous ridehailing company building the worlds first purpose-built robotaxi fully electric bidirectional with no steering wheel or drivers seat. Backed by Amazon and founded to make transportation safer cleaner and more accessible Zoox designs its vehicles entirely around the rider. Were currently operating in Las Vegas and San Francisco with Austin and Miami on the horizon and testing underway across seven U.S. markets.
About Our Part-Time Student Worker Program
Zooxs part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. Youll contribute to real projects work alongside engineers and researchers pushing the boundaries of autonomous technology and gain experience that goes well beyond the classroom. Were looking for students who bring strong academic foundations curiosity that doesnt stop at coursework and a drive to be part of something that matters.
- Support designing building and iterating on a data-driven safety risk model that quantifies driving performance and surfaces safety-relevant signals across the autonomy stack
- Assist developing and maintaining dataset management pipelines curation labeling versioning and quality checks that feed the risk model and downstream analyses
- Support defining and running empirical experiments that show it with data rather than relying on assumptions
- Assist analyzing large-scale driving and simulation datasets to identify trends edge cases and opportunities to improve autonomy performance
- Currently pursuing a B.S. or M.S. in a relevant quantitative field (Engineering Computer Science Statistics Physics or similar)
- Strong programming skills in Python
- Help work through ambiguous open-ended problems with a researchers mindset and a bias toward rapid iteration
- Solid data manipulation understanding (e.g. SQL PySpark Scala)
- Solid foundation in statistics machine learning and risk or reliability modeling
- Help communicate complex results trade-offs and uncertainty clearly to the team and stakeholders
- Comfort operating independently under high uncertainty on open-ended problems
- Excellent written and verbal communication; able to convey complexity and ambiguity clearly
- Experience with safety reliability or risk modeling (e.g. survival analysis Bayesian methods causal inference)
- Experience with large-scale dataset management data pipelines or MLOps tooling
- Strong teamwork and collaboration skills
- Background in autonomous vehicles robotics or a related quantitative discipline
- Prior research experience taking ambiguous end-to-end problems from zero to a result independently
- Genuine interest in autonomous vehicles and Zooxs mission
- Currently enrolled in a B.S. or M.S. program in a relevant discipline.
- Available to commit to a minimum three-month assignment.
- Able to commit a minimum of 20 hours per week.
- Able to work on-site at one of our office locations.
- Must adhere with Zoox confidentiality requirements including refraining from using or sharing proprietary company information outside of Zoox such as in academic research theses publications or presentations.
Compensation for this role is $30/hour.
This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted and benefits eligibility is determined by the vendor.
Required Experience:
IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.