Yizheng Liao is a Senior Staff Machine Learning Engineer in San Francisco with 13 years of experience building ML-driven products and data platforms across startups and academia. He currently leads ML and AI for Discovery (search, recommendation, personalization, ads) at Faire and previously architected Zip’s end-to-end data system and its first AI platform and models from 0 to production. His background blends deep academic research in AI, energy, and cyber-physical systems (Stanford PhD) with hands-on product work at Airbnb and early-stage startups, yielding both peer-reviewed publications and practical large-scale systems. He has a track record of shipping robust experimentation, ranking, and personalization systems as well as founding QA and release processes to improve engineering quality. Outside product work he applies ML and statistics to smart cities and power systems, actively publishing and collaborating as a visiting scholar. Colleagues describe him as the rare leader who moves fluidly between research-grade algorithms and production engineering.
13 years of coding experience
14 years of employment as a software developer
M.Sc Communication and Signal Processing, M.Sc Communication and Signal Processing at Worcester Polytechnic Institute
Doctor of Philosophy (PhD) Civil and Environmental Engineering, Doctor of Philosophy (PhD) Civil and Environmental Engineering at Stanford University
Contributions:6 commits, 1 push in 2 years 5 months
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Yizheng Liao - Senior Staff Machine Learning Engineer at Faire