Eugene Yan

     

Hi, I'm Eugene Yan. I work to bridge the field and the frontier, and help build safe, reliable AI systems that serve customers at scale. Currently, I'm a Member of Technical Staff at Anthropic.

Previously, as Principal Applied Scientist at Amazon, I built real-time retrieval, bandit rankers, and recsys in search, and AI systems/products for summarization, translation, Q&A.

Before that, I led machine learning at Alibaba/Lazada, and built product ranking (conversion +5-20%), push notifications (CTR +10%), product & review classification (cost -90%), etc.

As an early hire in a healthtech Series A, I led the team to ship an ML system for Southeast Asia's largest healthcare provider. At IBM, I built job forecasts & recommendations.

Outside of work, I share the ghost knowledge of applying ML and lessons from applying LLMs, and 🏂 and 🥾⛰️ in Seattle.

2026 - now: Member of Technical Staff @ Anthropic (Field <> Frontier)


2020 - 2025: Principal Applied Scientist @ Amazon

(RecSys, LLMs, Engineering)


2018 - 2019: ML Lead @ Healthtech Series A (Disease Detection, Cost Estimation)


2017 - 2018: VP, Machine Learning @ Alibaba/Lazada (E-Commerce, ML)


2015 - 2017: Data Scientist @ Alibaba/Lazada (Ranking, ML Automation, MLOps)


2013 - 2014: Data Scientist @ IBM (Workforce Analytics, Fraud Detection)

AIterate LabsHow I can help READMEI read everything but receive too much to respond to all of it.



Bio

Eugene Yan is a Member of Technical Staff at Anthropic. He works to bridge the field and the frontier, and helps build safe, reliable AI systems that serve customers at scale. Previously, he led ML/AI teams at Amazon, Alibaba, Lazada, and a Healthtech Series A. He writes about LLMs, RecSys, and engineering at eugeneyan.com.

Images: Portrait (1920 x 2560), Square (2176 x 2176)

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