Shan Jiang is a Staff Research Scientist and tech lead at Meta with nine years of experience building on-device conversational and agentic AI, currently leading work on on-device Llama4 for AI glasses. With a PhD in Computer Science from Northeastern, Shan has driven NLU, dialog modeling, and runtime systems for voice assistants and embedded conversational models across multiple roles at Meta. His background spans computational social science and misinformation measurement, reflecting strong interdisciplinary skills marrying NLP with real-world social data. Shan has industry research experience from internships at Google and Facebook focused on fact-checking and multimodal harmful content detection, showing a track record of translating research into product-relevant systems. Based in Redmond, he blends deep research rigor with production-oriented engineering, frequently operating at the intersection of privacy-sensitive, on-device ML and human-centered language technologies. Beyond core NLP, he brings expertise in applied measurement and social impact—skills that help shape safer, context-aware conversational agents.
9 years of coding experience
11 years of employment as a software developer
BBA, Information Management and Information Systems, BBA, Information Management and Information Systems at Beijing University of Posts and Telecommunications
PhD, Computer Science, PhD, Computer Science at Northeastern University
Contributions:9 commits, 8 pushes, 1 branch in 2 years 1 month
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Shan Jiang - Staff Research Scientist, Tech Lead at Meta