Summary
Feifei Yu is a Machine Learning Engineering Manager with 11 years of experience building and scaling data-driven products across high-growth marketplaces and platform businesses. She has led large cross-functional teams at Medely and Uber, standing up data warehouses, ML infrastructure, experimentation platforms, and production pricing and ranking systems that materially improved conversion, job completion, and unit economics. Currently managing relevance for Threads at Meta, she combines deep modeling expertise (from classical ML to CNNs/RNNs) with hands-on big data and cloud skills (Spark, Hive, Snowflake, AWS, EMR). Her background in transportation research and consulting informs a strong systems view of marketplaces and supply-demand dynamics, evidenced by measurable gains like a 60% acquisition cost reduction and 1.6x ROI on incentives. An active Kaggle competitor and GitHub author of model-from-scratch implementations, she pairs academic rigor from MIT with practical product delivery in the Bay Area.
10 years of coding experience
8 years of employment as a software developer
Master of Science in Transportation Transportation, Master of Science in Transportation Transportation at Massachusetts Institute of Technology
Bachelor of Science (B.S.) Transportation Engineering, Bachelor of Science (B.S.) Transportation Engineering at Southeast University