About

Yupin Huang is a highly experienced Senior Machine Learning Engineer at Amazon.com, with a career spanning over 5.87 years. With a strong background in ML, Search, AWS, Software Engineering, Normalization, and Neural Networks, Yupin has made significant contributions to the success of Amazon.com. At Amazon, Yupin has held various roles, including Software Engineer II, where she built a two-tower neural network model with embedding for search ranking features, implemented and launched Query Normalization for ranking in 6 countries, yielding X billion in annualized revenues, and led and launched several search improvements for Amazon Fresh and Wholefoods to reduce search defects. She also built an offline search ranking features pipeline using AWS Lambda. In her role as a Senior Machine Learning Engineer, Yupin redesigned and developed the most important feature that blends different categories of search results into one Amazon shopping page, which was launched on the Amazon website in 15 countries. The impact is XXX MM in annualized revenue. She also designed and developed ranking features for Prime Video ranking WW, resulting in a XX MM annual increase in streams, and migrated legacy builds to a new platform, resulting in a 2.5X increase in runtime. Prior to Amazon, Yupin worked as a Software Engineer at a9.com, where she built ML models to solve various relevance ranking problems in Amazon Video to track long-term customer engagement, created data pipelines to extract customer signals using AWS, and designed and implemented production ranking features. She also mentored interns to improve search priors features on cold start. Yupin holds a Master's Degree in Management Information Systems, General from Carnegie Mellon University, where she graduated in 2017. With her extensive experience and skills in ML, Search, AWS, Software Engineering, Normalization, and Neural Networks, Yupin is a valuable asset to any organization.