Travis Hutchinson

Biography

Travis leads work at the intersection of machine learning, ranking, and growth, currently building AI systems behind conversations and content quality, from LLM-powered ranking to classifiers that keep feeds relevant and authentic. Over nearly a decade in production ML and product, he's shaped how millions of people experience some of the world's largest platforms, including earlier work at Meta on Instagram Reels and Explore relevance and multimodal video understanding for Meta AI.  He holds a BA in Economics from Yale and is based in Brooklyn, where he also writes and thinks publicly about the platforms reshaping our information ecosystem

Sessions

1. Getting Your Content Discovered Presented by LinkedIn

   Wed, Nov 4, 10:10 AM – 11:10 AM CT

   Track Future of Work

   The way professionals discover opportunity is changing. Career growth is no longer shaped solely by job searches or formal learning paths. Increasingly, it is influenced by the content people consume, the communities they engage with, the expertise they share, and the signals that help them understand what's next. In this interactive Learning Lab, LinkedIn leaders will explore how content discovery and personalized experiences can help professionals navigate career growth with greater confidence. Attendees will gain insights into how relevant content can accelerate learning, expand networks, surface opportunities, and help individuals build stronger professional identities in an increasingly dynamic world. The session will provide a behind-the-scenes look at how LinkedIn approaches content relevance, personalization, and discovery at scale, while translating those concepts into practical strategies attendees can apply immediately to strengthen their careers, build meaningful connections, and stay informed about emerging opportunities. The conversation will also explore the evolving role of AI in helping professionals cut through information overload and discover insights, opportunities, and communities that matter most to them.