Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)

Ev Magazine; Foster City (CA); Hybrid; USD 39,000 - 47,000; Part time

Benefits offered by this job

On-site with hybrid option

Vendor contract through Zoox

Job summary

Zoox is seeking a Contract Student Worker in Foster City, CA to advance RotR data mining and VLM/LLM triage. You will build data miners, iterate classification pipelines, and curate datasets while advancing production-grade AI tooling.

You must be enrolled in a BS/MS program and able to commit 40 hours/week for at least three months, with on-site hybrid work at Zoox offices.

Qualifications

• Strong Python / PySpark / SQL skills.
• Coursework in machine learning, computer vision, or NLP.
• Experience with production-grade LLM/VLM applications.
• Understanding of supervised learning, model evaluation, and data bias.
• Hands-on experience with agentic workflows, RAG, tool calling.
• Familiarity with software-engineering practices like Git & testing.

Responsibilities

• Develop data miners to locate RotR violations.
• Iterate VLM/LLM workflows for classifying RotR events.
• Curate datasets and evaluate triager precision/recall.

Skills

Python

PySpark

SQL

ML/NLP

Computer vision

LLM/VLM apps

Education

BS/MS student in a relevant field

Tools

Git

Unit testing

Debugging

Code reviews

Job description

# Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)Foster City, CA · hybrid · ContractZoox InternshipshybridContractUSFoster CitySHARE THIS JOBDirect links only. No trackers, no third-party scripts.FacebookXLinkedInWhatsAppTelegramRedditBlueskyThreadsPinterestEmail## About the roleAbout Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're 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 Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Support Zoox's 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.## ResponsibilitiesDevelop 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## Required QualificationsExtend 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.## Bonus QualificationsStrong Scala skills. Experience with Spark optimization and distributed data-processing systems. Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.## Program RequirementsExperience 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.## About the employerWe want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment. 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. 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [e-mail] 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.