Summary
Jiefu Zheng is a Staff Machine Learning Engineer based in the San Francisco Bay Area with over a decade of experience building large-scale ML systems across Ads, Search, Recommendations, and Payment Risk. He has driven measurable product impact—most recently boosting Discover Ads revenue by 30%+ at Google—while balancing multi-objective trade-offs like revenue versus user experience and resource cost. Skilled across the full pipeline from retrieval and indexing to ranking and fraud detection, he pairs solid theoretical foundations (PhD-level engineering training) with production-grade engineering and cross-functional tech leadership. An active practitioner in Generative AI and LLMs, he has won internal competitions for LLM fine-tuning and Ads monetization and has hands-on experience hosting generative models in production. Notably, his work spans both real-time fraud prevention using relational graph mining and large-scale ads auction optimization, demonstrating a rare blend of experimentation, systems design, and operational rigor.
11 years of coding experience
12 years of employment as a software developer
B.S. in Mathematics Operations Research, B.S. in Mathematics Operations Research at Nanjing University
Doctor of Philosophy Engineering, Doctor of Philosophy Engineering at Boston University
English, Chinese, Chinese