The Lead Data Scientist will own the evaluation framework and quality strategy for advanced AI, computer vision, and perception systems. They will define pass/fail metrics, lead artifact auditing, and drive data strategy to ensure model quality and downstream usefulness.
Lead the definition and evolution of enterprise-wide architectural strategy to support AI ambitions and business goals. Oversee the Enterprise Architecture team to ensure consistency, cost efficiency, and the operationalization of AI/GenAI lifecycles across cloud platforms.
Lead the technical direction for map-grounded world foundation models to generate synthetic driving scenarios for AV training. Bridge the gap between generative AI research and classical simulation stacks to improve perception and planning performance.
