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James Evers Email & Phone Number

Machine learning engineering, distributed systems, low-latency inference servers at Shopify
Location: New York City Metropolitan Area, United States, United States 7 work roles 3 schools
1 work email found @gm.slc.edu 2 phones found area 978 and 515 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email j****@gm.slc.edu
Direct phone (978) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine learning engineering, distributed systems, low-latency inference servers
Location
New York City Metropolitan Area, United States, United States

Who is James Evers? Overview

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Quick answer

James Evers is listed as Machine learning engineering, distributed systems, low-latency inference servers at Shopify, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at gm.slc.edu, phone signal with area code 978, 515, and a matched LinkedIn profile for James Evers.

James Evers previously worked as Senior Machine Learning Engineer at Shopify and Senior Machine Learning Engineer at Jpmorgan Chase & Co.. James Evers holds Bachelor'S Degree, Philosophy from Sarah Lawrence College.

Company email context

Email format at Shopify

This section adds company-level context without repeating James Evers's masked contact details.

{first_initial}{last}@gm.slc.edu
86% confidence

AeroLeads found 1 current-domain work email signal for James Evers. Compare company email patterns before reaching out.

Profile bio

About James Evers

I'm interested in SRE for machine learning and building software engineering into ML

Listed skills include Python, Javascript, Ruby, React.Js, and 31 others.

Current workplace

James Evers's current company

Company context helps verify the profile and gives searchers a useful next step.

Shopify
Shopify
Machine learning engineering, distributed systems, low-latency inference servers
AeroLeads page
7 roles

James Evers work experience

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

Senior Machine Learning Engineer

Current

Ottawa, ON, CA

Jan 2024 - Present

Machine Learning Engineer - Tech Lead

London, London, GB

Jun 2022 - Jan 2023

Senior Data Engineer

London, London, GB

Jan 2022 - Jan 2023

Machine Learning & Data Engineer

Cupertino, California, US

Aug 2020 - Jan 2022

Software Engineer 2, Machine Learning

New York, NY, US

Nov 2019 - Aug 2020

Data Engineer

New York, NY, US

May 2017 - Nov 2019
3 education records

James Evers education

Bachelor'S Degree, Philosophy

Sarah Lawrence College

Exchange Fellowship, Philosophy

University Of Oxford

Education record

Middlebury College
FAQ

Frequently asked questions about James Evers

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

What company does James Evers work for?

James Evers works for Shopify.

What is James Evers's role at Shopify?

James Evers is listed as Machine learning engineering, distributed systems, low-latency inference servers at Shopify.

What is James Evers's email address?

AeroLeads has found 1 work email signal at @gm.slc.edu for James Evers at Shopify.

What is James Evers's phone number?

AeroLeads has found 2 phone signal(s) with area code 978, 515 for James Evers at Shopify.

Where is James Evers based?

James Evers is based in New York City Metropolitan Area, United States, United States while working with Shopify.

What companies has James Evers worked for?

James Evers has worked for Shopify, Jpmorgan Chase & Co., Blockchain.Com, Apple, and Condé Nast.

How can I contact James Evers?

You can use AeroLeads to view verified contact signals for James Evers at Shopify, including work email, phone, and LinkedIn data when available.

What schools did James Evers attend?

James Evers holds Bachelor'S Degree, Philosophy from Sarah Lawrence College.

What skills is James Evers known for?

James Evers is listed with skills including Python, Javascript, Ruby, React.Js, Sql, Machine Learning, Data Analysis, and Regression Analysis.

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