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Snap Inc. job postings for Machine Learning Engineer

Snap Inc. added job postings for Machine Learning Engineer roles, increasing by eleven hundred percent in the last 28 days.

By Ethan Walsh, Mogi Research · Oct 10, 2026

About Snap Inc.

Snap Inc. is an operating company in software development. It is a public company headquartered in Santa Monica, California, with a headcount of 8126. Its website is careers.snap.com.

Software Development · Operating company · Santa Monica, California · 8,126 employees · Skills: python, ai tools, data analysis, sql

Are there more machine learning engineer job postings now than before? In the last 28 days, Snap Inc. added job postings for machine learning engineers. The number of postings rose from two to twenty four, an increase of eleven hundred percent.

What might explain this change? The increase in job postings may be due to the company's focus on artificial intelligence tools. It is also possible that the company is expanding its data analysis capabilities. The company lists python, ai tools, data analysis, sql, distributed systems, and excel as skills.

How does this compare to other companies? JPMorgan Chase saw a fall of forty seven percent in machine learning engineer postings, from sixty four to thirty four. Capital One added thirty one postings, with a null change percentage as they had zero postings before. Booz Allen Hamilton saw postings rise by four hundred twenty five percent, from four to twenty one.

The numbers

What are the top 5 companies hiring machine learning engineers in the last 28 days?

NameLast 28 daysThe 28 beforeChange
Snap Inc.242+1100%
JPMorgan Chase3464-47%
Capital One310n/a
Booz Allen Hamilton214+425%
Accenture190n/a

Top roles: Machine Learning Engineer (24)

Top states: Washington (2), New York (1)

More on Snap Inc. jobs on Mogi.

Counts are job postings, not hires, from company career sites that Mogi's crawl found. Compares the 28 days to 2026-10-10 with the 28 days before them. Covers all countries, all states, Machine Learning Engineer. Employers with fewer than five postings in the last eight weeks are grouped together and left out of the rankings. The company details come from the crawl's company profiles, where the crawl has one.

Written by Ethan Walsh of Mogi Research, with AI from the table above. Every figure in it comes from that table.

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