Kim Hazelwood
Facebook

Kim Hazelwood is a senior engineering manager leading the AI Infrastructure Foundation and AI Infrastructure Research efforts at Facebook, where the focus is designing and optimizing efficiency hardware and software systems for Facebook’s many applied machine learning-based products and services. Previously, Kim was a tenured associate professor at the University of Virginia, a software engineer at Google, and director of systems research at Yahoo Labs. She’s been recognized with an NSF CAREER Award, the Anita Borg Early Career Award, the MIT Technology Review Top 35 Innovators under 35 Award, and the ACM SIGPLAN 10-Year Test of Time Award. She serves on the board of directors of CRA and has authored over 50 conference papers and one book. She holds a PhD in computer science from Harvard University.

Sessions

10:00–10:15 Wednesday, 16 October 2019

Location: King's Suite

Large-scale machine learning at Facebook: Implications of platform design on developer productivity

Secondary topics: Deep Learning tools, Machine Learning tools

Kim Hazelwood (Facebook), Mohamed Fawzy (Facebook)

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AI plays a key role in achieving Facebook's mission of connecting people and building communities. Nearly every visible product is powered by machine learning algorithms at its core, from delivering relevant content to making the platform safe. Kim Hazelwood and Mohamed Fawzy explain how applied ML has continued to change the landscape of the platforms and infrastructure at Facebook. Read more.