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Explore the journey of building and scaling DoorDash's Machine Learning platform in this 31-minute conference talk from the Toronto Machine Learning Series. Discover how DoorDash handles exponentially growing online ML prediction volumes to support various use cases, including ETA predictions, Dasher assignments, personalized restaurant and menu item recommendations, and search query ranking. Learn about the optimizations, lessons learned, technical decisions, and tradeoffs made during the evolution of their prediction service. Gain insights into how DoorDash measures success and sets future goals for their ML platform. Join Hien Luu, Head of Machine Learning Platform at DoorDash, as he shares valuable experiences and strategies for scaling machine learning infrastructure in a rapidly growing business environment.
