Student Worker - Machine Learning Engineer - Data Mining & VLM

4 days ago

Foster City, CA, USAIntern

H1B Sponsor

Responsibilities

Develop and iterate data miners that locate potential RotR violations while following SSO requirements.
Develop and iterate VLM/LLM workflows and pipelines for classifying RotR events.
Extend triagers from simulation data to fleet and service data.
Curate golden datasets and evaluate triager precision and recall against human triage.
Analyze error cases and translate findings into pipeline improvements.

Strong Python, PySpark, and SQL skills.
Coursework in machine learning, computer vision, or NLP, with understanding of supervised learning, model evaluation, dataset bias, and label noise.
Hands-on experience building production LLM/VLM applications involving agentic workflows, RAG, tool calling, evaluation, or fine-tuning.
Experience evaluating multimodal or vision-language models.
Currently enrolled in a relevant B.S. or M.S. program.
Experience with prompt optimization, model fine-tuning, or human-in-the-loop machine-learning systems.
Familiarity with Git, unit testing, debugging, and code reviews.
Bonus: strong Scala skills and experience with Spark optimization or distributed data-processing systems.
Bonus: experience with autonomous vehicles, robotics, mapping, or transportation datasets.
Must comply with Zoox confidentiality requirements.

Minimum three-month assignment.
Minimum 40 hours per week.
On-site work at one of Zoox’s office locations.
Opportunity to work on autonomous vehicles, machine learning, and mobility technology.

1,001-5,000 employees

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.