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machine learning Salary in michigan

Based on 163 active job postings in michigan  ·  Updated 2026

Min Salary
$170,000
per year
Average Salary
$267,755
per year
Max Salary
$335,300
per year
Jobs Found
163
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for machine learning in michigan...

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Open machine learning Jobs in michigan 163

Staff Machine Learning Engineer - ML Training Infrastructure
General Motors Lansing, Michigan
$335300 / per year Full Time
Director, Predictive Modeling and Machine Learning
Credit Acceptance Southfield, Michigan
$301490 / per year Full Time
Senior Manager, Predictive Modeling and Machine Learning
Credit Acceptance Southfield, Michigan
$270386 / per year Full Time
AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting
EY Lansing, Michigan
$261600 / per year Full Time
Manager, Predictive Modeling and Machine Learning
Credit Acceptance Southfield, Michigan
$170000 / per year Full Time
Principal Machine Learning (ML)/ Artificial Intelligence (AI) Engineer- AI Cockpit
Ultimate.ai Plymouth, Michigan
Full Time
Machine Learning Engineering Manager
Indeed Detroit, Michigan
Full Time
Senior Machine Learning Test Engineer
Autodesk Lansing, Michigan Remote
Full Time
Machine Learning Engineer
JConnect Infotech Warren, Michigan
Full Time
Machine learning Engineer
JConnect Infotech Warren, Michigan
Full Time
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machine learning Salary FAQ

What is the average machine learning salary in michigan?
Based on 5 recent job postings, the average annual salary for a machine learning in michigan is approximately $267,755, with a range of $170,000 – $335,300.
How do I negotiate my machine learning salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect machine learning compensation in michigan?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.