Apply opens Zoox's site. When you're back, we'll ask whether you applied.
Job type
Contract
Work mode
Hybrid
Level
Not listed
Department
Data and Analytics
Experience
Not listed
Posted
Aug 7, 2026
About the role
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
Required 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.
Bonus Qualifications:
Strong Scala skills.
Experience with Spark optimization and distributed data-processing systems.
Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.
Program Requirements:
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.
