Eugene Yan
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Eugene Yan Email & Phone Number

ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com. at Amazon
Location: Seattle, Washington, United States 11 work roles 2 schools
3 work emails found @amazon.com 1 phone found area 658 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 3 work emails · 1 phone

Work email e****@amazon.com
Direct phone (658) ***-****
LinkedIn Profile matched
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Current company
Role
ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com.
Location
Seattle, Washington, United States

Who is Eugene Yan? Overview

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Quick answer

Eugene Yan is listed as ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com. at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 658, and a matched LinkedIn profile for Eugene Yan.

Eugene Yan previously worked as Senior Applied Scientist at Amazon and Applied Scientist at Amazon. Eugene Yan holds Master Of Science (M.S.), Computer Science from Georgia Institute Of Technology.

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Email format at Amazon

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*@amazon.com
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Profile bio

About Eugene Yan

I design, build, and operate machine learning systems to serve customers at scale. I also write & speak about ML systems, engineering, and career at ApplyingML.com & eugeneyan.com.I'm currently a Senior Applied Scientist at Amazon where I focus on helping customers read more. Here, I built systems including real-time retrieval, bandit-based ranking, and recsys in search (see RecSys 2022 keynote). More recently, I'm exploring how LLMs can help us serve customers better (see AI Eng Summit 2023 keynote). I also help educate business leaders & teams, align roadmaps, and inject pragmatism and simplicity into ML systems.In the past, I led the data science team at Lazada (acquired by Alibaba in 2016). Other than that, as an early hire in a healthtech Series A, I led the team to ship a ML system for Southeast Asia's largest healthcare provider. At IBM, I built job recommendations and reduced attrition and increased job satisfaction.Outside of work, I share ghost knowledge of applying ML via curated papers, guides, and practitioner interviews, and host a meetup on ML in industry. I also angel invest in early-stage data/ML, infra, and devtool startups.Opinions my own.

Listed skills include Python, Data Analysis, Machine Learning, Data Mining, and 35 others.

Current workplace

Eugene Yan's current company

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Amazon
Amazon
ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com.
AeroLeads page
11 roles · 5 years

Eugene Yan work experience

A career timeline built from the work history available for this profile.

Senior Applied Scientist

Current

Seattle, WA, US

  • Building ML systems to serve customers at scale. Advising execs and teams on how to solve the right problems with the simplest solution. Educating the Org on ML, RecSys, LLMs.
  • Designing and shipping centralized LLM systems for new GenAI customer experiences:- Built and deployed guardrails (e.g., content-safety, factual inconsistency) for customer-facing apps.- Built retrieval, clustering.
  • Shipping ML & recommender systems to help customers discover, buy, and read more books:- Built bandit ranker to explore-exploit with sparse feedback; increased CTR XX% and profit $Y mil.- Designed labeling queues to.
  • Educating & advising organizational leadership and teams as part of Generative AI Working Group.
Mar 2022 - Present

Applied Scientist

Seattle, WA, US

  • Built real-time candidate retrieval for recommendations and search; increased units and revenue by XX million, improved search metrics by Y%, 8,000+ queries/sec, p99 latency < 25ms, low cost (<2k monthly).
  • Prototyped interactive tag-based discovery for books; launched on Amazon detail page and Kindle app.
  • Incremental RecSys improvements: Added serendipity & book length preferences; +XX million in revenue.
Jan 2020 - Feb 2022

Builder

Current
  • Iterating on AI systems, amplifying teams: https://www.aiteratelabs.com
  • AlignEval: Making evals easy, fun, and semi-automated: http://aligneval.com
  • How to build successful LLM products: https://applied-llms.org
  • Papers, guides, and interviews with ML practitioners: https://applyingml.com
2021 - Present ~5 yrs 4 mos

Machine Learning Lead

Singapore, Singapore, SG

uCare.ai aims to make healthcare more efficient and reduce cost. Winner of Frost & Sullivan's 2019 Innovation Award and accredited by the Singapore government.Predicted chronic diseases with 80% recall & 50% precision. Wanted to work with insurers to improve insurees’ health & reduce claims; they wanted us to identify who was healthy to sell them more.

May 2018 - Dec 2019

Vp, Machine Learning

Singapore, Singapore, SG

Lazada is Southeast Asia's largest e-commerce platform; acquired by Alibaba in April 2016.- Facilitated organizational & technological merger between Lazada and Alibaba.Built & led a team of 20+. Engaged execs on data & ML roadmap. Systems we shipped include:- Search and RecSys improvements: Increased CTR and conversion by ~30%- Push notifications.

Jun 2017 - May 2018

Senior Data Scientist

Singapore, Singapore, SG

Built scalable ML systems across 6 countries, improving business outcomes and user experience, including:- Product ranking: Increased conversion by 5-8% and revenue by 15 - 20%- Product classifier: 95% top-3 accuracy, 200+ queries/second, reduced manual effort >95%, cost by >50%- Search intent API: Increased search CTR by 3-5%, 400+ queries/second- Review.

Jun 2015 - May 2017

Data Scientist

Ibm

Armonk, New York, NY, US

Job demand forecasting & internal job RecSys; reduced attrition, reduced compute time by 90%.

Jul 2014 - Jun 2015

Data Analyst

Ibm

Armonk, New York, NY, US

Social media analytics for global brand, anti-money laundering for global bank, supply chain for IBM.

Jul 2013 - Jul 2014

Research Assistant

Singapore, Singapore, SG

Contributed to 2 academic papers and several conference presentations.

Sep 2008 - Apr 2011

Entrepreneur-Intern

Tiong Bahru, SG

Set up 1-Caramel (a patisserie and café); broke even within 6 months.

Apr 2009 - Jul 2009
2 education records

Eugene Yan education

Master Of Science (M.S.), Computer Science

Georgia Institute Of Technology

Bachelor Of Social Science (B.Soc.Sci.), Psychology And Organizational Behavior & Hr

Singapore Management University
FAQ

Frequently asked questions about Eugene Yan

Quick answers generated from the profile data available on this page.

What company does Eugene Yan work for?

Eugene Yan works for Amazon.

What is Eugene Yan's role at Amazon?

Eugene Yan is listed as ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com. at Amazon.

What is Eugene Yan's email address?

AeroLeads has found 3 work email signals at @amazon.com for Eugene Yan at Amazon.

What is Eugene Yan's phone number?

AeroLeads has found 1 phone signal(s) with area code 658 for Eugene Yan at Amazon.

Where is Eugene Yan based?

Eugene Yan is based in Seattle, Washington, United States while working with Amazon.

What companies has Eugene Yan worked for?

Eugene Yan has worked for Amazon, Aiterate Labs, Ucare.Ai, Lazada Group, and Ibm.

How can I contact Eugene Yan?

You can use AeroLeads to view verified contact signals for Eugene Yan at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Eugene Yan attend?

Eugene Yan holds Master Of Science (M.S.), Computer Science from Georgia Institute Of Technology.

What skills is Eugene Yan known for?

Eugene Yan is listed with skills including Python, Data Analysis, Machine Learning, Data Mining, R, Apache Spark, Artificial Intelligence, and Statistics.

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