Summary
Jieli Shen is a Staff Machine Learning Engineer at Meta with nine years of experience building large-scale recommendation systems, currently shaping Facebook Reels ranking, contextual video chaining, and unified short/long-form video relevance for billions of users. She holds a PhD in Statistics with research in fusion/meta learning and predictive inference, and brings rare depth in uncertainty quantification and confidence distributions to production ML. Previously she led customer lifetime value and membership modeling at Walmart and developed real-time pricing and risk models for major investment banks, blending quant finance rigor with product-focused ML. An ex-quant, CFA charterholder and FRM, she pairs strong statistical foundations with hands-on engineering at scale, and pursues price-action trading as a technical hobby.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Statistics, Bachelor of Science (BS) Statistics at University of Science and Technology of China
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Rutgers University
German, Chinese, English