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Yang Jin Email & Phone Number

Staff Software Engineer at Google
Location: Mountain View, California, United States 6 work roles 2 schools
1 work email found @google.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email y****@google.com
LinkedIn Profile matched
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Current company
Role
Staff Software Engineer
Location
Mountain View, California, United States
Company size

Who is Yang Jin? Overview

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Quick answer

Yang Jin is listed as Staff Software Engineer at Google, a with 1 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Yang Jin.

Yang Jin previously worked as Senior Software Engineer at Google and Software Engineer III at Google. Yang Jin holds Master'S Degree, Computer Science from The University Of Texas At Dallas.

Company email context

Email format at Google

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{first}{last}@google.com
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AeroLeads found 1 current-domain work email signal for Yang Jin. Compare company email patterns before reaching out.

Profile bio

About Yang Jin

Yang Jin is a Staff Software Engineer at Google. They possess expertise in java, python, algorithms, machine learning, linux and 4 more skills. They is proficient in English.

Listed skills include Java, Python, Algorithms, Machine Learning, and 5 others.

Current workplace

Yang Jin's current company

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Google
Google
Staff Software Engineer
Mountain View, CA
Website
Employees
1
AeroLeads page
6 roles

Yang Jin work experience

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

Staff Software Engineer

Current

Mountain View, Ca, Us

Nov 2023 - Present

Senior Software Engineer

Mountain View, Ca, Us

Nov 2020 - Oct 2023

Software Engineer Iii

Mountain View, Ca, Us

Oct 2018 - Oct 2020

Software Engineer Ii

Mountain View, Ca, Us

Jan 2017 - Sep 2018

Software Engineer Intern

Ayasdi

Proposed, designed, implemented and optimized a deep learning based data representation method to deal with the mixed-data-type representation problemAchieved the best result in terms of robustness and TDA shape among other features in the platformGave a one-hour presentation about the proposed system achievement

May 2016 - Aug 2016

Research Assistant

Richardson, Texas, Us

Designed and implemented an extractive online shopping review summarization system based on bigram coverage maximizationProposed and integrated multiple grammatical units in an abstractive summarization systemObtained roughly 9% improvement over a state of the art system

Mar 2015 - May 2016
Team & coworkers

Colleagues at Google

Other employees you can reach at google.com. View company contacts for 1 employees →

2 education records

Yang Jin education

Master'S Degree, Computer Science

The University Of Texas At Dallas

Bachelor'S Degree, Computer Science

East China Normal University
FAQ

Frequently asked questions about Yang Jin

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

What company does Yang Jin work for?

Yang Jin works for Google.

What is Yang Jin's role at Google?

Yang Jin is listed as Staff Software Engineer at Google.

What is Yang Jin's email address?

AeroLeads has found 1 work email signal at @google.com for Yang Jin at Google.

Where is Yang Jin based?

Yang Jin is based in Mountain View, California, United States while working with Google.

What companies has Yang Jin worked for?

Yang Jin has worked for Google, Ayasdi, and University Of Texas At Dallas.

Who are Yang Jin's colleagues at Google?

Yang Jin's colleagues at Google include Rebeca Mihai, Saw Kwar, Serm Chantha, Bob Bob, and Desirea Hall.

How can I contact Yang Jin?

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

What schools did Yang Jin attend?

Yang Jin holds Master'S Degree, Computer Science from The University Of Texas At Dallas.

What skills is Yang Jin known for?

Yang Jin is listed with skills including Java, Python, Algorithms, Machine Learning, Linux, Data Structures, C++, and Natural Language Processing.

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