Leonardo Neves

Principal Research Engineer

Leonardo is a Principal Research Engineer at Snap Research. His research focuses on Natural Language Processing and, more recently, Recommender Systems. Leonardo's recent work involves leveraging cross-domain behavior for building foundational behavioral models. He has been increasingly involved in efforts to scale training and inference of large models, specializing in sequential recommendation models that face the challenges of both LLMs and traditional recommender systems. Prior to Snap Inc., Leonardo worked for Pivotal Software Inc., Intel, and Yelp, and served as the Head of Applied Research at Grammarly. He earned a Master's in Intelligent Information Systems from Carnegie Mellon University.