Summary
Sean Chang is a Senior Principal ML Engineer and research-driven leader with 11 years of experience applying statistical science and machine learning to search, vision, and recommendation systems across major tech companies. He holds a Ph.D. in Statistical Science from Duke and has driven multimodal LLMs, on-device vision, and generative AI safety work at Atlassian, Coupang, Meta, Microsoft, and others. Sean combines publication-grade research (ICCV/CVPR/NeurIPS/AAAI work) with product impact—shipping large-scale retrieval, search relevance, and recommender systems in production. He’s comfortable moving between low-level modeling and cross-functional engineering leadership, often bridging research rigor with deployable, efficient systems. Based in the Bay Area, he quietly blends deep statistics with practical ML engineering, evidenced by repeated leadership of both academic and production initiatives.
11 years of coding experience
9 years of employment as a software developer
Ph.D. Statistical Science, Ph.D. Statistical Science at Duke University
National Taiwan University
Spanish, French, Chinese