Summary
Wang C is a Staff Machine Learning Engineer with 13 years of experience building large-scale ads, search, and recommendation systems across Tsinghua, Tencent WeChat, YouTube, and now Apple. He has led teams delivering ads recommendation and auction systems serving billions of users and improving advertiser efficiency through intelligent delivery, bid simulation, and creativity optimization. His work bridges production ML and research—publishing 10 top-conference papers (AAAI, EMNLP) and serving on multiple program committees—while shipping LLM and RAG solutions for search, video understanding, Siri, and Safari. Technically fluent in retrieval and ranking, TensorFlow/PyTorch, and LLM-based intent understanding, he focuses on practical GenAI applications in ads and recommendation pipelines. Based in New York, he combines deep research rigor with product-facing engineering, often translating novel academic ideas like mixup and GAN-based recommendation into production features. An understated strength is his cross-domain fluency across audience, auction, advertiser, and publisher sides of the ads ecosystem, enabling end-to-end impact.
13 years of coding experience
3 years of employment as a software developer
M.S Computer Engineering, M.S Computer Engineering at Columbia University
M.S Computer Science, M.S Computer Science at Tsinghua University
Chinese, Chinese, English