Scaling Machine Learning on Graphs at LinkedIn

EPISODE 236
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Banner Image: Hema Raghavan, Scott Meyer - Podcast Interview
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About this Episode

Today we're joined by Hema Raghavan and Scott Meyer of LinkedIn.

Hema is an Engineering Director Responsible for AI for Growth and Notifications, while Scott serves as a Principal Software Engineer. In this conversation, Hema, Scott and I dig into the graph database and machine learning systems that power LinkedIn features such as "People You May Know" and second-degree connections. Hema shares her insight into the motivations for LinkedIn's use of graph-based models and some of the challenges surrounding using graphical models at LinkedIn's scale, while Scott details his work on the software used at the company to support its biggest graph databases.

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LinkedIn is the world's largest professional network with nearly 800 million members in more than 200 countries and territories worldwide. Today, LinkedIn leads a diversified business with revenues from membership subscriptions, advertising sales and recruitment solutions.
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