Distillation Lead

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About this role

Distillation Lead San Francisco, CA 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 Waabi's Physical AI platform is powered by state of the art ML models which must be deployed efficiently across diverse use-cases, from onboard vehicle inference to large-scale simulation. As the Distillation Lead, you will own the strategy and execution for distillation across Waabi's AI stack, ensuring our most capable models run efficiently in every deployment context. You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams to deliver compressed models that meet the performance requirements of both real-time onboard systems and high-throughput simulation pipelines. You will… - Define and drive the technical strategy for model distillation and compression across Waabi's AI stack - spanning perception, world models, and planning - with an eye toward both onboard deployment and simulation use-cases. - Design, implement, and scale state-of-the-art distillation and efficiency pipelines, which may include: - Distillation for generative models (diffusion, autoregressive, flow-matching, video models) - Quantization-aware training (QAT) and post-training quantization (PTQ) - Knowledge distillation (feature-level, response-based,

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