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.
The role involves defining and driving test strategies for HD map products by building automation-first validation frameworks. You will collaborate with data science and engineering teams to ensure large-scale geospatial systems perform reliably in real-world conditions.
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 strategy and development of advanced generative AI and multimodal vision systems. Drive the transition of research models into production-ready capabilities while mentoring other scientists.
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.
