Jacob Austin
Jacob Austin is a computer scientist focused on systems problems in large-scale machine learning. He is currently a Member of Technical Staff at Anthropic in New York City. Before joining Anthropic, Jacob helped build several of Google's largest language models—including Gemini, PaLM, PaLM-2, and Bard—as well as some of the company's earliest ML-powered developer tools for code completion and code review. His research includes early work on program synthesis with large language models and text diffusion, and he co-authored a textbook on language model scaling. Jacob began his career as an AI Resident at Google Brain, where he was advised by Danny Tarlow and Hugo Larochelle, and he previously worked as a research intern at NVIDIA Research alongside Anima Anandkumar and Yuke Zhu. He holds an undergraduate degree in Computer Science and Mathematics from Columbia University.
