Student Worker - Machine Learning Engineer - Data Mining VLM

Role overview

Responsibilities

• check_circle Develop and iterate data miners locating potential RotR Violations following SSO requirements
• check_circle Develop and iterate on VLM/LLM workflows and pipelines for classifying RotR events
• check_circle Curate golden datasets and evaluate triager precision/recall against human triage

Basic qualifications

• 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.

Preferred qualifications

• Strong Scala skills.
• Experience with Spark optimization and distributed data-processing systems.
• Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.

Benefits

• check_circle Compensation for this role is $30/hour.
• check_circle 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 the company