Summary
Jinghe Zhang is a Senior Machine Learning Engineer based in the San Francisco Bay Area with 11 years of experience applying ML, NLP, deep learning, and recommender systems to real-world problems. Currently at Apple on Trust & Safety, he builds robust, scalable models to detect and mitigate harmful content and behavior. Previously he led AI efforts at Target, designing large-scale recommendation engines that fused text and behavioral signals to drive personalization. His academic background includes a Ph.D. in Systems and Information Engineering and research on representation learning and health informatics, bringing rigorous experimental and production sensibilities to product-focused teams. Colleagues describe him as someone who bridges deep research understanding with pragmatic engineering—optimizing for both model performance and deployment reliability.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Industrial Engineering, Bachelor of Science (B.Sc.), Industrial Engineering at Hebei University of Technology
Master of Science (MS), Industrial and Systems Engineering, Master of Science (MS), Industrial and Systems Engineering at State University of New York at Binghamton
Doctor of Philosophy (Ph.D.), Systems and Information Engineering, Doctor of Philosophy (Ph.D.), Systems and Information Engineering at University of Virginia
English, Chinese