Summary
Sijie Shen is a machine learning engineer with nine years of experience specializing in recommendation systems, NLP, and search technologies, currently building e-commerce recommendation at ByteDance/TikTok. He has shipped production recommender and recall algorithms across major platforms including Microsoft, Tencent, and Apple, with notable work improving cold-user engagement in WeChat’s Video Channel and optimizing Siri web search ranking. Comfortable moving models from research to at-scale production, he has hands-on experience with Transformer-based generation for advertising and practical query intent recognition. Based in Bellevue, WA and trained at Peking University in computer science and economics, he combines strong technical depth with product-focused experimentation. Colleagues would describe him as a hacker at heart who enjoys probing core system behaviors to squeeze out better relevance and efficiency.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Compute Software and Theory, Master of Science - MS, Compute Software and Theory at Peking University