Mid Level Machine Learning Manager Jobs

Mid level machine learning manager jobs go to practitioners ready to own model pipelines end to end, guide junior engineers, and translate research priorities into shipping decisions with minimal direction. Across on-site, remote, and hybrid settings in Technology & Software, Electronics & Hardware, and Artificial Intelligence, employers like Apple, Scale AI, and TikTok are hiring at this level now.

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Overview

Open roles195+
Top stateCalifornia
Top employerApple
Top citySan Francisco, CA
Work type71% On-site
Top industryTechnology

Showing 4 of 195+ Mid Level Machine Learning Manager jobs

Unity Technologies
Staff Machine Learning Engineer
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Unity Technologies
New 9h ago
Staff Machine Learning Engineer
Unity Technologies
Mountain View, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Data Analytics
$172k - $284k/yr
On-Site
None
5,001-10,000

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Mach9
Head of Machine Learning
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Mach9
Added 4d ago
Head of Machine Learning
Mach9
San Francisco Bay Area
Software Engineering
Data Science & Analytics
Technical Product & Program Management
Data Science
Technical Program Management
$275k - $400k/yr
On-Site
None

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Wayfair
Machine Learning Scientist III
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Wayfair
Added 6d ago
Machine Learning Scientist III
Wayfair
Seattle, Washington
Data Science & Analytics
Software Engineering
Data Science
AI (Artificial Intelligence)
ML (Machine Learning)
$194k - $206k/yr
Hybrid
Doctorate
10,000+

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Amazon.com
Applied Scientist, Machine Learning Accelerator
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Amazon.com
Added 6d ago
Applied Scientist, Machine Learning Accelerator
Amazon.com
San Diego, California
Cloud Engineering
Cybersecurity
Systems Administration
$143k - $193k/yr
Master's degree
10,000+

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Mid Level Machine Learning Manager Job Market

Who's Hiring

  • Apple
    Apple14
  • Scale AI
    Scale AI14
  • TikTok
    TikTok7
  • TikTok USDS Joint Venture
    TikTok USDS Joint Venture6
  • Meta
    Meta5

Top Industries Hiring

  • Technology & Software101
  • Electronics & Hardware22
  • Artificial Intelligence18
  • Banking & Financial Services11
  • Science & Research9

Mid Level Machine Learning Manager Jobs: Frequently Asked Questions

How do I get a mid level machine learning manager job?

Position yourself around ownership, not just contribution. Highlight projects where you drove decisions independently, coordinated cross-functional work, or mentored a peer. Recruiters at this level want to see that you can translate a business problem into a modeling approach and see it through to deployment. Tailor your application to show scope of impact, not just technical tasks completed.

Which companies hire mid level machine learning managers?

Companies hiring mid level machine learning managers right now include Apple, Scale AI, and TikTok, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including large technology firms, financial services companies, and fast-growing startups building out their applied ML teams.

Are there remote mid level machine learning manager jobs?

Yes, remote and hybrid options are a real part of the market at this level. About 29% of mid level machine learning manager openings are remote or hybrid as of September 2026, reflecting how broadly distributed ML infrastructure work has become. Search current openings on Migrate Mate and filter by work setting to find the arrangement that fits.

How do I move up to a mid level machine learning manager role?

The path from entry level to mid level is built on progressively larger ownership. Early on, focus on delivering reliable model components and learning the production environment. Over time, take initiative on scoping small projects, document what you learn, and start supporting colleagues through code reviews or design discussions. Demonstrable impact on shipped products, not just completed tickets, is what signals readiness for mid level responsibility.

Which industries hire the most mid level machine learning managers?

Mid Level machine learning manager roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. These sectors invest heavily at the mid level because they need practitioners who can manage the full lifecycle of production models, from data pipelines through monitoring, without requiring constant senior oversight.