Student Worker Machine Learning Engineer Data Mining & VLM
Job Location:
Foster, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
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.
Role Overview
Support Zooxs Rules of the Road (RotR) program where a miner LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events help develop and evaluate the VLM triagers curating golden datasets measuring precision/recall against expert triage and extending automation to new regulations and data sources.
- Develop and iterate data miners locating potential RotR Violations following SSO requirements
- Develop and iterate on VLM/LLM workflows and pipelines for classifying RotR events
- Curate golden datasets and evaluate triager precision/recall against human triage
- Extend triagers from simulation to fleet/service data
- Strong Python / Pyspark / SQL skills
- Coursework in machine learning computer vision or NLP. Understanding of supervised learning model evaluation and common sources of dataset bias and label noise.
- Analyze error cases and translate findings into pipeline improvements
- Hands-on experience building production LLM/VLM applications including agentic workflows RAG tool calling evaluation and/or fine-tuning.
- Familiarity with software-engineering practices such as Git unit testing debugging and code reviews.
- Strong Scala skills.
- Experience with Spark optimization and distributed data-processing systems.
- Experience with autonomous vehicles robotics mapping or transportation-related datasets.
- Experience evaluating multimodal or vision-language models.
- Currently enrolled in a B.S. or M.S. program in a relevant discipline.
- Experience with prompt optimization model fine-tuning or human-in-the-loop ML systems.
- Available to commit to a minimum three-month assignment.
- Able to commit a minimum of 40 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.
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.
