Ming Chen is an experienced ML engineer and researcher with 12 years building production-grade AI systems, currently on the Reinforcement Learning team at OpenAI. He has led research and engineering teams at ByteDance/TikTok focused on ads, recommendation, and search ranking—pioneering AutoML, neural architecture search, multitask and uplift modeling, and multi-modal solutions. At Google Brain he helped launch Cloud AutoML Tables, bringing AutoML for tabular data into production, and earlier work spans search quality and low-latency networking research. Based in Sunnyvale, he combines deep research instincts with product-first engineering, often translating novel algorithms into scalable pipelines. A background that spans top academic programs (Peking University, Cornell) and high-impact internships suggests he thrives at the intersection of theory, systems, and real-world deployment.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, 3.78/4.00 Ranked 6/131, Bachelor's degree, Computer Science, 3.78/4.00 Ranked 6/131 at Peking University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Cornell University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.