Summary
Zhengjie Xu is a Senior Machine Learning Engineer at Meta with 6+ years of experience designing and deploying large-scale ranking and recommendation systems that serve hundreds of millions of users. He specializes in relevance-focused, multi-objective optimization and low-latency production ML, and has owned the lifecycle of over 15,000 production features to boost accuracy, robustness, and generalization. Prior roles at Goldman Sachs and Bloomberg honed his strengths in behavior modeling, risk-aware forecasting, and production-grade quantitative systems. He blends deep mathematical training (Ph.D. in Applied and Interdisciplinary Mathematics) with pragmatic engineering, mentoring cross-functional teams and establishing feature governance frameworks to balance model quality and capacity. Notably, his background ranges from integrable PDE research to shipping commercial HRV analysis software, reflecting a track record of turning rigorous theory into reliable, operational products.
6 years of coding experience
17 years of employment as a software developer
Ph.D Applied and Interdisciplinary Mathematics, Ph.D Applied and Interdisciplinary Mathematics at University of Michigan
MS Applied Mathematics, MS Applied Mathematics at Fudan University