Applied Research Scientist, Uber Tech Lead at IEEE Transaction on Big Data
New York, New York, United States
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Summary
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Senior
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Top School
Yinglong Xia is an applied research scientist and technical lead at Meta AI with 12+ years of experience building large-scale recommendation systems and productionizing state-of-the-art ML across product, infra, and research teams. He champions next-generation techniques—large-scale graph learning, transfer and reinforcement learning, and LLM prompting—to power centralized user interest models, deep retrieval, and cross-app cold-start solutions that have driven dozens of launches across Reels, Feed, Marketplace and Ads. Previously a Chief Architect at Futurewei and a technical lead at IBM T.J. Watson, he has deep systems expertise in graph engines, high-performance computing, and scalable AI platforms. An active community leader and standards contributor, he serves as an associate editor for IEEE TKDE/TBD, was a director of LDBC, and has co-founded influential workshops and conference tracks that bridge academia and industry. With 90+ publications and 30+ patents, he combines rigorous research with pragmatic engineering to deliver measurable product impact. Based in New York, he often blends low-level systems trade-offs with frontier ML ideas—an unusual cross-cutting strength that accelerates complex recommendation products.
12 years of coding experience
16 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Southern California
Master of Engineering, Pattern recognition, Machine learning, Artificial intelligence, Master of Engineering, Pattern recognition, Machine learning, Artificial intelligence at Tsinghua University
Bachelor, Automatic Measuring and Control, Bachelor, Automatic Measuring and Control at University of Electronic Science and Technology of China
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Yinglong Xia - Applied Research Scientist, Uber Tech Lead at IEEE Transaction on Big Data