Xinwei Yao is a Staff Software Engineer with 12 years of experience at the intersection of computer graphics, machine learning, and large-scale distributed systems. Currently at Google DeepMind after driving generative-video capabilities at YouTube, he builds production-grade video generation research (Veo) that bridges cutting-edge ML and product requirements. His background includes low-latency, planet-scale search infrastructure at Google and document/vision AI on Google Cloud, reflecting a rare combination of systems engineering and ML research rigor. A Stanford PhD candidate and Yale-trained mathematician, he brings deep theoretical chops to practical engineering problems and has taught machine learning internally at Google. Based in Menlo Park, he pairs academic depth with a film buff’s sensibility, often applying visual and cinematic intuition to generative media problems. Colleagues say he’s as comfortable optimizing tail latency for trillions of documents as prototyping the next cinematic AI effect.
12 years of coding experience
10 years of employment as a software developer
Summer Abroad Program Language and Culture, Summer Abroad Program Language and Culture at University of Deusto
High School, High School at Nanjing Foreign Language School
Bachelor of Science (B.S.) Intensive Mathematics and Computer Science, Bachelor of Science (B.S.) Intensive Mathematics and Computer Science at Yale University
High School, High School at Saint Louis University High School
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University
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Xinwei Yao - Staff Software Engineer at Google DeepMind