Ming Zhao is a Senior Staff Machine Learning Engineer in Redmond with 7+ years of industrial R&D experience applying ML to advertising, search relevance, and NLP, and over two years leading teams delivering algorithmic innovations for product ads. He has driven measurable business impact at Microsoft and Meta/Facebook by improving product-ads relevance, revenue-per-search, and defect rates through ranking, deep learning, and multimodal semantic modeling (CDSSM/Transformer/BERT). At Meta he now focuses on ads signal processing, anonymization, and privacy-preserving ML, building on prior leadership of identity-matching systems for offsite conversion ads. Ming combines hands-on pipeline engineering—from data sampling and labeling to online flight tuning—with production-grade tooling for query debugging and feature monitoring. Trained at Zhejiang University in computer software engineering, he blends strong academic foundations with a practical track record of shipping high-impact relevance systems at scale. An under-the-radar strength is his consistent focus on operationalizing research into metrics-driven product wins rather than isolated model improvements.
3 years of coding experience
13 years of employment as a software developer
Master Computer Software Engineering, Master Computer Software Engineering at Zhejiang University
Contributions:4 commits, 2 pushes, 3 branches in 24 days
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Ming Zhao - Senior Staff Machine Learning Engineer at Meta