Simon Tong is a Principal Engineer with over two decades of engineering impact at Google, specializing in large-scale machine learning and information retrieval systems that power web search and ad targeting. He co-designed Google's first widely used ML system and multiple revenue-driving systems, architecting solutions that analyze billions to trillions of data points. A core contributor to search ranking with 76 granted US patents (and about ten pending), he combines deep research training—a Ph.D. in Machine Learning from Stanford—with pragmatic product focus. Simon’s work repeatedly moved state-of-the-art techniques into production, improving core business metrics by several percent at scale. Based in Mountain View, he brings rare expertise at the intersection of ML research, systems engineering, and applied economics of search and ads. Notably, his career blends foundational academic rigor with prolific patented innovation that quietly shapes everyday search experiences.
11 years of coding experience
B.A., Mathematics and Computation, B.A., Mathematics and Computation at University of Oxford
Ph.D., Machine Learning, Computer Science, Ph.D., Machine Learning, Computer Science at Stanford University
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