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Jin Li Email & Phone Number

Sr. Manager of Engineering and Data Science at Amazon at Amazon
Location: Bellevue, Washington, United States 9 work roles 3 schools
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Role
Sr. Manager of Engineering and Data Science at Amazon
Location
Bellevue, Washington, United States

Who is Jin Li? Overview

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Jin Li is listed as Sr. Manager of Engineering and Data Science at Amazon at Amazon, based in Bellevue, Washington, United States. AeroLeads shows a matched LinkedIn profile for Jin Li.

Jin Li previously worked as Sr. Manager of Applied Science and Engineering, Personalization at Amazon and Manager of Applied Science and Engineering, Product Graph at Amazon. Jin Li holds Ph.D., Computer Science from Portland State University.

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Email format at Amazon

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Amazon

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Profile bio

About Jin Li

I am a builder and problem solver at heart, passionate about leveraging science and technology to solve complex customer and business problems. I believe in simple and scalable solutions, fast feedback loops, and data-driven decisions. At times, I also enjoy diving deep to understand key system components.- Demonstrated success in building large-scale, big data, and ML platform services: launched AWS and Azure services; spearheaded company-wide platforms that drive efficiency in building and deploying ML solutions through platform adoption.- Led the development and deployment of ML solutions for various applications, including product recommendations, Ads CTR/CVR prediction, and fraud detection.- Excelled at breaking down complex problems into actionable components and delivering incremental results while advancing towards long-term goals. Experienced in incubating new products and enhancing existing features.- Built high-performing teams of engineers and ML scientists, leading distributed teams across SEA and NYC; mentored and developed talent from L4 to L7 at Amazon across multiple job families.

Current workplace

Jin Li's current company

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Amazon
Amazon
Sr. Manager of Engineering and Data Science at Amazon
AeroLeads page
9 roles · 27 years

Jin Li work experience

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

Sr. Manager Of Applied Science And Engineering, Personalization

Current

Seattle, Wa, Us

Oct 2022 - Present

Manager Of Applied Science And Engineering, Product Graph

Seattle, Wa, Us

Apr 2018 - Sep 2022

Software Development Manager, Machine Learning

Seattle, Wa, Us

Building new machine learning platform for Sponsored Products at Amazon. Hire SDEs at all levels. Free free to ping me if you are interested.https://services.amazon.com/services/sponsored-products-questions.htm

Sep 2016 - Apr 2018

Sr. Sde

Redmond, Washington, Us

Azure Stream Analytics

Nov 2014 - Sep 2016

Sr. Sde

Seattle, Wa, Us

Amazon Machine Learning is a hosted machine learning platform service that supports the full lifecycle of machine learning applications, including big data analysis, model training, model evaluation, and batch/online prediction. It is built on top of other AWS services such as S3, DynamoDB, EMR and SimpleWorkFlow. I’m the leading engineer and the founding member of the team, and worked on almost every core part of the system, such as the REST service API design, the framework for plugging in new feature pre-processing and data statistics models, and partitioning of online prediction service.

Jan 2013 - Nov 2014

Software Development Engineer

Seattle, Wa, Us

Design, implement, launch and maintain web services for collecting and archiving real-time and historical production data for fraud detection, abuse, seller performance evaluation, AWS fraud and other applications, as well as platform services and tools to support training and using machine learning models in production for real time fraud detection.

Sep 2008 - Jan 2013

Research Assistant

Oregon Graduate Institute

NiagaraST: NiagaraST is a stream query engine extended from the Niagara Internet Query system. It can potentially supports queries over data streams such as network traffic, financial records, web-clicks. I worked on windowed query evaluation such as window aggregate and window join, in NiagaraST. With my work, windowed queries do not have to rely on physical stream properties, such as stream arrival order, stream arrival delay and time skew of stream sources, to progress or purge state. The performance of windowed query evaluation is significantly improved, especially in memory, throughput, and latency.

Sep 2002 - Sep 2008

Intern

At&T Research

Worked on extending Gigascope, a network monitoring system that monitors the AT&T backbone network, to support processing (aggregation, merge, and join) out-of-order data without putting them back into to order. The result shows significant reduction of memory usage of the system.

Jul 2007 - Sep 2007
3 education records

Jin Li education

Ph.D., Computer Science

Portland State University

Ph.D., Computer Science

Oregon Graduate Institute

Computer Science

Shanghai Jiao Tong University
FAQ

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What company does Jin Li work for?

Jin Li works for Amazon.

What is Jin Li's role at Amazon?

Jin Li is listed as Sr. Manager of Engineering and Data Science at Amazon at Amazon.

Where is Jin Li based?

Jin Li is based in Bellevue, Washington, United States while working with Amazon.

What companies has Jin Li worked for?

Jin Li has worked for Amazon, Microsoft, Oregon Graduate Institute, At&T Research, and National Instruments.

How can I contact Jin Li?

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

What schools did Jin Li attend?

Jin Li holds Ph.D., Computer Science from Portland State University.

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