Senior / Staff Applied Scientist

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 highly experienced Applied Data Scientist to play a leading role in shaping the methodologies underlying our evaluation ecosystem. This is a senior technical role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will help co-design and build the rigorous frameworks that validate the Waabi Driver across Waabi World (Simulation), Track, and Public Road testing. You will... - Design scalable production frameworks for autonomy evaluation. You will apply statistically rigorous methodologies to challenges such as sampling evaluation sets to ensure comprehensive Operational Design Domain (ODD) coverage. - Design and implement methodologies to systematically measure and monitor the performance, fidelity, and reliability of the evaluation infrastructure itself, ensuring our testing ecosystem remains a highly trusted source of truth. - Directly prototype complex deep-dive analyses, write production-quality evaluation code, and build the sophisticated tools and dashboards that synthesize our progress for technical and executive leadership. - Act as a key partner to Safety and Autonomy te