Summary
Paul Viola is a Distinguished Engineer currently at Zoox with a rare blend of deep research pedigree and large-scale engineering leadership, holding a Ph.D. from MIT and 35 patents across machine learning, search, and image processing. He has repeatedly transitioned ideas from academia into production—authoring influential algorithms like the world's fastest face detection and widely used medical image registration software—then scaled them at Microsoft and Amazon to improve search relevance, ads revenue, and drone delivery science. At Microsoft he founded and grew applied ML efforts for Bing, driving query understanding, page composition, and ads ranking; at Amazon he led Prime Air's science organization; and most recently at Zoox he focuses on cross-org technical initiatives including GPT-based personalization and org-wide metrics. Equally comfortable as a researcher, architect, developer, and manager, he is known for improving hiring, engineering excellence, and collaborative innovation across large teams. Based in Seattle, Paul combines scholarly impact (50+ papers) with practical product outcomes, making him a connector between cutting-edge ML research and real-world systems.
12 years of coding experience
18 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Massachusetts Institute of Technology