Evaluation Lead
Waabi - Toronto, ON
Posted Mar 27, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Evaluation Lead Toronto, ON 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 We are looking for a hands-on leader to build a new centralized Evaluation team. This team will be responsible for providing comprehensive and holistic analysis on all aspects of performance of the autonomy system. In this role, you will collaborate closely with the systems & safety team, responsible for defining the requirements & evaluation criteria, as well as the autonomy teams to understand their evaluation needs. You will get to work with Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles! You will... - Lead and build a cross functional team of software engineers, data analysts, and data scientists supporting automated workflows that provide high signal on autonomy performance. - Design scalable production frameworks for sampling evaluation sets, developing and improving metrics, and systematically measuring the performance of both autonomy and the eval ecosystem itself.
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