Teams at Zoox

Develop and deploy AI-powered decision tools and agentic workflows for safety operations. Build LLM integrations with safety databases and operational logs, evaluate model reliability and failure modes, create APIs or dashboards, and collaborate with safety strategists and software engineers to validate prototypes in real-world autonomous vehicle scenarios.

Analyze autonomous vehicle, fleet, and business data to develop metrics, evaluate model and simulation performance, identify behavioral patterns, and support data-driven decisions. Projects may include drift monitoring, automated retraining, predictive modeling, similarity search, and statistical testing. The intern will use Python and SQL, apply machine learning and analytical methods, collaborate with simulation and autonomy teams, and communicate findings to varied audiences.

Analyze autonomous vehicle fleet safety data, incident logs, telemetry, simulation results, and operational metrics. Support benchmarking against industry and regulatory standards, build automated data pipelines and dashboards, validate data integrity, and communicate insights to safety, engineering, systems integration, and fleet operations teams. The internship requires a full-time 12-week commitment and relocation to the Bay Area.