Google Research

Jay Yagnik


Jay Yagnik is currently a Vice President and Engineering Fellow at Google, leading large parts of Google AI. While at Google he has led many foundational research efforts in machine learning and perception, computer vision, video understanding, privacy preserving machine learning, quantum AI, applied sciences, and more. He also created multiple engineering and product successes for the company, in areas including Google Photos, YouTube, Search, Ads, Android, Maps, and Hardware. Jay’s research interests span the fields of deep learning, reinforcement learning, scalable matching, graph information propagation, image representation and recognition, temporal information mining, and sparse networks.

Jay is an alumnus of the Indian Institute of Science and the Institute of Technology, Nirma University for graduate and undergraduate studies.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work