Mid Level Machine Learning Engineer Jobs

Mid level machine learning engineer jobs go to engineers ready to own model pipelines end to end, make architectural decisions with limited oversight, and bring junior teammates up to speed. Openings run heavily remote and hybrid across Technology & Software, Electronics & Hardware, and Banking & Financial Services, with employers like Apple, Scale AI, and General Motors actively hiring at this level now.

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Overview

Open roles253+
Top stateCalifornia
Top employerApple
Top citySan Francisco, CA
Work type67% On-site
Top industryTechnology

Showing 5 of 253+ Mid Level Machine Learning Engineer 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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Apple
Senior Software ML Engineer
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Apple
Added 3d ago
Senior Software ML Engineer
Apple
Cupertino, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
$142k - $263k/yr
Hybrid
Master's
10,000+

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Worldpay
Senior ML Software Engineer
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Worldpay
Added 3d ago
Senior ML Software Engineer
Worldpay
Boston, Massachusetts
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Cloud & DevOps
MLOps
DevOps
Backend Engineering
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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General Motors
Staff ML Infrastructure Engineer
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General Motors
Added 5d ago
Staff ML Infrastructure Engineer
General Motors
Mountain View, California
Software Engineering
Data Science & Analytics
Cloud & DevOps
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$172k - $335k/yr
Hybrid
Bachelor's

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Mid Level Machine Learning Engineer Job Market

Who's Hiring

  • Apple
    Apple21
  • Scale AI
    Scale AI13
  • General Motors
    General Motors13
  • Amazon Web Services
    Amazon Web Services8
  • Nuro
    Nuro7

Top Industries Hiring

  • Technology & Software127
  • Electronics & Hardware41
  • Banking & Financial Services22
  • Automotive20
  • Artificial Intelligence17

Mid Level Machine Learning Engineer Jobs: Frequently Asked Questions

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

Lead with ownership. Hiring managers at this level want to see that you have driven a model or ML system from problem definition through deployment, not just contributed to someone else's project. Highlight decisions you made independently, production systems you maintained, and any cross-functional work where you translated business needs into modeling choices. A strong portfolio of shipped work outweighs credentials at this stage.

Which companies hire mid level machine learning engineers?

Companies hiring mid level machine learning engineers right now include Apple, Scale AI, and General Motors, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including technology firms building internal ML platforms, retailers investing in recommendation and forecasting systems, and startups scaling their first production models.

Are there remote mid level machine learning engineer jobs?

Yes, and the share is substantial. About 33% of mid level machine learning engineer openings are remote or hybrid as of September 2026, reflecting how broadly distributed ML teams have become. Cloud-native workflows and mature MLOps tooling have made it practical for engineers at this level to own pipelines and collaborate on model development without being on-site full time.

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

The shift from entry level to mid level comes from accumulating real ownership over time. Early-career engineers grow into this tier by taking on progressively larger modeling problems, seeing their work reach production, and learning to operate with less direction. Building depth in a specialization, such as NLP, computer vision, or recommendation systems, and demonstrating measurable impact on business outcomes are the clearest signals that you are ready for mid level responsibilities.

Which industries hire the most mid level machine learning engineers?

Mid Level machine learning engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they have both the data scale and the business incentive to invest in engineers who can own model development independently rather than work under close supervision.