Senior Staff Ml Scientist, Tlm
CurrentLeading the Ads/Sponsored Products team: Tackling challenges in both Ads Delivery and Advertiser Optimization space including Targeting, Retrieval, Prediction, Bidding, Pacing and Auction design.
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@uber.com
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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.
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Machine Learning (ML), Recommender systems, Search, Ranking, Personalization
Listed skills include Machine Learning, Android, Java, Data Mining, and 4 others.
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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.
San Francisco, Ca, Us
Led the Marketplace Objectives team: Optimizing Search and Recommendation for long-term marketplace objectives
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.
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
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/
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/
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Le Nguyen works for Faire.
Le Nguyen is listed as Sr Staff ML Scientist at Faire | ex-Uber Eats, CMU at Faire.
AeroLeads has found 1 work email signal at @uber.com for Le Nguyen at Faire.
Le Nguyen is based in San Francisco Bay Area, United States while working with Faire.
Le Nguyen has worked for Faire and Uber.
You can use AeroLeads to view verified contact signals for Le Nguyen at Faire, including work email, phone, and LinkedIn data when available.
Le Nguyen holds Doctor Of Philosophy (Ph.D.), Ml from Carnegie Mellon University.
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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