About the role
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability. We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization. You will... - Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing. - Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones. - Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system
requirements across all testing modalities. - Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and
