Eugene Yan
Member of Technical Staff at Anthropic; former Principal Applied Scientist at Amazon
Eugene Yan is a Member of Technical Staff at Anthropic and describes the work as bridging the field and the frontier to help build safe, reliable AI systems. From 2020 to 2025, Yan was a Principal Applied Scientist at Amazon, building real-time retrieval, bandit rankers, and recommendation systems in search, as well as AI systems for summarization, translation, and question answering. Earlier, Yan led machine learning at Alibaba/Lazada as VP of Machine Learning. Yan led the bulk of the document integration and overall structure of the 2024 essay "What We've Learned From A Year of Building with LLMs", co-written with Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu, and Shreya Shankar.123
Work
What We've Learned From A Year of Building with LLMs (external site: applied-llms.org)Published research
Listed first among the authors; the acknowledgments credit Yan with the bulk of the document integration and overall structure, many of the lessons, and primary editing.3
Other documented roles
Roles the sources document but that are not confirmed as current.
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