Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)
Core
Develop and iterate data miners and VLM/LLM workflows to automatically mine and triage potential road-rule violation events from simulation and fleet data for Zoox's autonomous ridehailing vehicles.
Role type
Student Machine Learning Engineer (Data Mining & VLM)
Builds
Automated data mining pipelines and VLM triager systems for Rules of the Road (RotR) violation detection
Domain
Autonomous vehicles, transportation safety, data mining
Deliverable
production ML models
Required skills
Python, PySpark, SQL, machine learning, computer vision, NLP, supervised learning, model evaluation, dataset bias analysis, LLM/VLM application development, agentic workflows, RAG, tool calling, fine-tuning, Git, unit testing, debugging
Preferred skills
Scala, Spark optimization, distributed data-processing systems, autonomous vehicles, robotics, mapping, transportation datasets, multimodal/vision-language model evaluation, prompt optimization, human-in-the-loop ML systems
Responsibilities
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; Analyze error cases and translate findings into pipeline improvements
Seniority
Student, hands-on IC
