Jie Yang is a Staff Machine Learning Engineer based in New York with eight years of experience building applied ML and computer vision systems across industry and academia. He holds a PhD in Biomedical/Medical Engineering from Columbia and began his career developing real-time medical imaging and diagnostic models, later bringing that expertise to Google Health Research and Waymo. At Waymo he led perception efforts spanning semantic segmentation, temporal aggregation, vision-language models, and label-efficient learning via self-supervision and synthetic data. Currently at Pinterest ATG, he focuses on visual generative AI research and productization, bridging cutting-edge research with practical product needs. Jie’s background in medical imaging and GAN-based augmentation informs a strong emphasis on data efficiency and robust model behavior in safety-critical and consumer-facing settings. Colleagues would describe him as a research-minded engineer who consistently translates academic rigor into production-ready computer vision solutions.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.) Biomedical/Medical Engineering at Columbia University
Bachelor of Science (B.S.) Biomedical/Medical Engineering, Bachelor of Science (B.S.) Biomedical/Medical Engineering at Shanghai Jiao Tong University
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Jie Yang - Staff Machine Learning Engineer at Pinterest