TWIMLcon 2022


ML Infrastructure to Build and Train Scalable Autonomous Driving Systems

Case Study

Traditional MLOps platforms are insufficient for autonomous driving model development and deployment. In AV, the challenge is not just about building a singular model efficiently, but rather developing an integrated ML stack capable of autonomous driving. In this talk we discuss Waymo’s progress towards building a scalable technology platform for autonomous driving and give an overview of the ML operations and platforms behind it.

Session Speakers

Principal Software Engineer

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