Wei Jing

Wei Jing: Email & Phone Number

Opt-Out
Machine Learning Engineer II at Amazon Web Services (AWS)|Seattle, Washington, United States

Position:

Machine Learning Engineer II at Amazon Web Services (AWS)

Location:

Seattle, Washington, United States

LinkedIn
View Wei Jing's Email
Up to 10 free lookups. No credit card required.
Last updated: 2026-09-02
Updated: 2026-09-02

Found email addresses for Wei Jing:

Business emails:
Personal emails:
p*************n@gmail.com

Found phones for Wei Jing:

+1-323-***-**47,
+1-870-***-**46
Searching for Wei Jing profiles
0% completed

A different Wei Jing?

Sign up to search for other Wei Jing's across our 900M+ professionals database

Work Experience 9 years

Machine Learning Engineer II at Amazon Web Services (AWS)

Apr 2022 - Current

Machine Learning Engineer at HSBC

Nov 2020 - Mar 2022

Senior Engineer at Pactera

Nov 2020 - Mar 2022

Data Scientist at Quantium

Jun 2018 - Oct 2020

Junior Engineer at New Times Securities Co. Ltd.

Oct 2017 - Jun 2018

Wei Jing started working in 2017, then the employee has changed 4 companies and 4 jobs. On average, Wei Jing works for one company for 2 years.

Their professional focus is Amazon Web Services (AWS), Analytical Skills, and Chinese across 3 core areas.

Wei holds Dean's Honor's List certifications.

Education

University of Melbourne

Frequently Asked Questions

SignalHire found verified email addresses for Wei Jing, both business and personal. Their business email is j****w@aws.amazon.com, and personal emails include j*******1@qq.com, and p*************n@gmail.com.
SignalHire found multiple verified phone numbers for Wei Jing: +1-520-***-**13, +1-323-***-**47, and +1-870-***-**46.
You can reach Wei Jing through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.
Wei Jing has 9 years of professional experience. They have held roles including Machine Learning Engineer, Senior Engineer, and Data Scientist at companies such as HSBC, Pactera, and Quantium. Their education includes University of Melbourne.
Yes. Wei Jing's SignalHire profile was last updated on 2 September 2026, reflecting their current position as Machine Learning Engineer II at Amazon Web Services (AWS) in Seattle, WA, United States.

Wei Jing Namesakes

Name
Company
Position
Wayne
Wayne's Handy Home Services
CC Self employed
Get contacts
Wayne
Accounts Receivable Manager
Get contacts
Wayne
Mapping Analyst
Get contacts
See more profiles

Similar profiles

Name
Company
Position
Akanksha Paspuleti
Machine Learning Engineer II
Get contacts
David Sunday
Machine Learning Engineer II
Get contacts
Matthew Whalen
Machine Learning Engineer II
Get contacts
Supriya
Zentree Labs
Machine Learning Engineer II
Get contacts
Pritam Raj
Machine Learning Engineer II
Get contacts
Shrish Shankar
Machine Learning Engineer II
Get contacts
See more profiles

Other employees at Amazon Web Services (AWS)

Name
Company
Position
Evelyn
Cloud Computing Engineer
Get contacts
Marcela Araujo
Principal Engagement Manager
Get contacts
Daniel Serpa Pérez
Senior Financial Analyst
Get contacts
SANTIAGO FLOREZ
Machine Learning Data Associate - GO-AI Operations
Get contacts
Gabriela Avendaño
Virtual Partner Marketing Manager MX
Get contacts
Fernando Jiménez
Systems Engineer II, SME Networks
Get contacts
David Vasquez
Enterprise Support Lead / Technical Account Manager
Get contacts
Indira Scott
Technical Account Manager
Get contacts
Riccardo Sommaruga
Fraud Prevention Science
Get contacts
Sunyoung Park
Delivery Consultant, Tech Lead
Get contacts
See more profiles

Data Privacy

GDPR Icon

GDPR COMPLIANT

SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.

CCPA Icon

CCPA COMPLIANT

SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.

BACK TO TOP