Aligning LLMs with Representation Learning

Sean Hendryx leads frontier data research and applied ML for generative AI at Scale. He has been developing models for collaborative human-AI systems for over six years. He is currently focused on researching systems that most effectively leverage human supervision for the advancement of frontier models and has publications on alignment, frontier evaluations, test time compute scaling, meta-learning, and online learning.

Vaskar Nath is a Machine Learning Research Engineer at Scale AI, where he works on advancing the capabilities of language models. His research focuses on improving reward modeling, enhancing tool usage, and strengthening reasoning abilities. Vaskar holds a bachelor’s degree from the University of Toronto, where he double-majored in computer science and mathematics with a minor in statistics. Prior to joining Scale, he gained experience through internships at Meta, Nuro, AWS, and Intel.

Jessica Zhu is the tech lead of Scale's Generative AI Growth team. She has spent the past few years working on various products at the forefront of AI, including document processing, computer vision, and LLM infrastructure. In her free time she enjoys traveling, boxing, and playing board games.