Senior Level Machine Learning Engineer Jobs

Senior level machine learning engineer jobs place experienced engineers in ownership of model architecture decisions, production system quality, and the cross-functional initiatives that translate research into real-world impact. Hiring is concentrated across Technology & Software, Biotechnology & Pharmaceuticals, and Automotive, with a 40% remote and hybrid share, and employers like Plaid, Zoox, and Apple hiring at this level now.

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Overview

Open roles188+
Top stateCalifornia
Top employerPlaid
Top citySan Francisco, CA
Work type60% On-site
Top industryTechnology

Showing 5 of 188+ Senior Level Machine Learning Engineer jobs

AI & Machine Learning Engineering Consultant
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Added 2d ago
AI & Machine Learning Engineering Consultant
EY
New York, New York
Software Engineering
Data Science & Analytics
Technical Product & Program Management
Project & Program Management
Consulting & Professional Services
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Technical Program Management
Project Management
$126k - $262k/yr
Hybrid
Bachelor's
10,000+

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Edge ML Engineer
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Added 3d ago
Edge ML Engineer
Bright Vision Technologies
Alpharetta, Georgia
Software Engineering
AI (Artificial Intelligence)
$150k/yr
Remote (US)
Bachelor's

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Machine Learning Engineer, Answers Knowledge and Information - Proactive
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Added 3d ago
Machine Learning Engineer, Answers Knowledge and Information - Proactive
Apple
Seattle, Washington
Data Analytics
Data Science
$175k - $309k/yr
Doctoral degree in Computer Science
10,000+

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Senior Manager - Machine Learning
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Added 3d ago
Senior Manager - Machine Learning
CCC Intelligent Solutions
Chicago, Illinois
Software Engineering
Technical Product & Program Management
AI (Artificial Intelligence)
ML (Machine Learning)
Technical Program Management
$137k - $215k/yr
On-Site
None
1,001-5,000

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ML Ops DSX Senior Engineer
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Added 4d ago
ML Ops DSX Senior Engineer
NVIDIA
Santa Clara, California
Cloud Engineering
Data Engineering
Software Engineering
$184k - $357k/yr
Remote (US)
Bachelor's degree in electrical engineering
10,000+

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Senior Level Machine Learning Engineer Job Market

Who's Hiring

Plaid6 open roles
Zoox5 open roles
Apple5 open roles

Top Industries Hiring

  • Technology & Software89
  • Biotechnology & Pharmaceuticals15
  • Automotive13
  • Electronics & Hardware12
  • Consulting & Professional Services10

Senior Level Machine Learning Engineer Jobs: Frequently Asked Questions

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

Senior level roles go to engineers who demonstrate ownership beyond individual contributions. Employers look for candidates who have shipped models to production at scale, made architectural decisions with measurable business outcomes, and mentored junior engineers through technical problems. A strong portfolio of end-to-end projects, published work or open-source contributions, and evidence of cross-functional leadership all sharpen a candidacy at this stage.

Which companies hire senior level machine learning engineers?

Companies hiring senior level machine learning engineers right now include Plaid, Zoox, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of technology and platform companies, large enterprises building internal AI capabilities, and well-funded startups that need engineers who can own an entire modeling pipeline without close supervision.

Are there remote senior level machine learning engineer jobs?

Yes, remote availability is stronger at the senior level than in most technical disciplines. About 40% of senior level machine learning engineer openings are remote or hybrid as of November 2026, reflecting employer confidence in experienced engineers who can self-direct work across distributed teams. Many of the fully remote roles still involve regular async collaboration with product and research counterparts.

What makes a machine learning engineer role senior level?

Senior level machine learning engineer roles are distinguished by scope and accountability, not just technical complexity. Engineers at this level own system design from data pipeline through deployment, set quality and evaluation standards the team follows, make trade-off calls that affect product direction, and actively develop the skills of more junior colleagues. The defining characteristic is that the role shapes how the work is done, not only executes it.

Which industries hire the most senior level machine learning engineers?

Senior level machine learning engineer roles concentrate in Technology & Software, Biotechnology & Pharmaceuticals, and Automotive, based on current listings on Migrate Mate as of November 2026. Those sectors drive hiring at this level because they operate at a scale where model reliability, latency, and continuous retraining are production requirements, making senior-level ownership of the full system lifecycle a core business need rather than a nice-to-have.