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Le Nguyen Email & Phone Number

Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU at Faire
Location: San Francisco Bay Area, United States 6 work roles 2 schools
1 work email found @uber.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email l****@uber.com
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Current company
Role
Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU
Location
San Francisco Bay Area, United States

Who is Le Nguyen? Overview

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Quick answer

Le Nguyen is listed as Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU at Faire, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at uber.com and a matched LinkedIn profile for Le Nguyen.

Le Nguyen previously worked as Senior Staff ML Scientist, TLM at Faire and Staff ML Scientist, TLM at Faire. Le Nguyen holds Doctor Of Philosophy (Ph.D.), Ml from Carnegie Mellon University.

Company email context

Email format at Faire

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{first}@uber.com
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AeroLeads found 1 current-domain work email signal for Le Nguyen. Compare company email patterns before reaching out.

Profile bio

About Le Nguyen

Machine Learning (ML), Recommender systems, Search, Ranking, Personalization

Listed skills include Machine Learning, Android, Java, Data Mining, and 4 others.

Current workplace

Le Nguyen's current company

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Faire
Faire
Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU
AeroLeads page
6 roles

Le Nguyen work experience

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

Senior Staff Ml Scientist, Tlm

Current

San Francisco, Ca, Us

Leading the Ads/Sponsored Products team: Tackling challenges in both Ads Delivery and Advertiser Optimization space including Targeting, Retrieval, Prediction, Bidding, Pacing and Auction design.

Sep 2023 - Present

Staff Ml Scientist, Tlm

San Francisco, Ca, Us

Led the Marketplace Objectives team: Optimizing Search and Recommendation for long-term marketplace objectives

Mar 2022 - Sep 2023

Staff Ml Scientist, Tlm

San Francisco, Ca, Us

Led the Search and Recommendation team.Faire is an online wholesale marketplace, connecting brands with local retailers. There are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue a year. We use machine learning to help them compete with Amazon and big box stores.

Mar 2021 - Mar 2022

Staff Ml Scientist, Tlm

San Francisco, California, Us

Led the Discovery team in Uber Eats: Recommendation, Search and Knowledge Graph- Recommendation: We help users discover the food they love through personalized recommendation, which jointly optimizes multiple objectives such as user engagement, restaurant demand, and long-term health of the marketplace.- Search: We help connect users with what they are looking for, let it be a cuisine, restaurant, or dish. We understand their intention and optimize their query, proactively suggest relevant search queries, build novel algorithms to power both search retrieval and ranking.- Knowledge Graph: To enhance the recommendation and search capabilities, we build an extensive knowledge graph to capture the relationship between food, restaurants, users and other marketplace entities using a wealth of data unique to Uber and Uber Eats.Marketplace-aware Recommendationhttps://eng.uber.com/uber-eats-recommending-marketplace/Search query understanding and expansionhttps://eng.uber.com/uber-eats-query-understanding/Patent: Learning food representation https://patents.google.com/patent/US20190122164A1/en

Jan 2019 - Mar 2021

Senior Ml Scientist, Tlm

San Francisco, California, Us

Led the Marketplace Prediction team: Optimizing Uber Eats' marketplace by more accurately predicting food preparation time, travel time, parking, courier wait time, etc.Inferring courier activity stateshttps://eng.uber.com/uber-eats-trip-optimization/

Sep 2017 - Dec 2018

Applied Ml Scientist

San Francisco, California, Us

Order Performance team: Reduced errors of Estimated Time of Deliveries (ETD) by over 30%.How we estimate food delivery time https://thenewstack.io/how-uber-eats-uses-machine-learning-to-estimate-delivery-times/

Mar 2016 - Aug 2017
2 education records

Le Nguyen education

Doctor Of Philosophy (Ph.D.), Ml

Carnegie Mellon University

Bachelor'S + Master’S Degree, Computer Science

Karlsruhe Institute Of Technology (Kit)
FAQ

Frequently asked questions about Le Nguyen

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

What company does Le Nguyen work for?

Le Nguyen works for Faire.

What is Le Nguyen's role at Faire?

Le Nguyen is listed as Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU at Faire.

What is Le Nguyen's email address?

AeroLeads has found 1 work email signal at @uber.com for Le Nguyen at Faire.

Where is Le Nguyen based?

Le Nguyen is based in San Francisco Bay Area, United States while working with Faire.

What companies has Le Nguyen worked for?

Le Nguyen has worked for Faire and Uber.

How can I contact Le Nguyen?

You can use AeroLeads to view verified contact signals for Le Nguyen at Faire, including work email, phone, and LinkedIn data when available.

What schools did Le Nguyen attend?

Le Nguyen holds Doctor Of Philosophy (Ph.D.), Ml from Carnegie Mellon University.

What skills is Le Nguyen known for?

Le Nguyen is listed with skills including Machine Learning, Android, Java, Data Mining, Python, Ruby On Rails, Indoor Positioning, and Javascript.

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