Engineering · United States
Machine Learning Engineer Salary in Minneapolis–St. Paul, MN$111,708–$145,092 in 2026
The demand for machine learning engineers in Minneapolis–St. Paul, MN has outpaced nearly every other discipline. Salaries for mid-level roles sit between $111,708 and $145,092, with a meaningful premium for anyone who has worked with large language models at scale, built real-time inference systems, or shipped recommendation systems with measurable revenue impact. The median of $128,400 understates what the best offers look like right now.
Machine Learning Engineer Salary in Minneapolis — 2026 Overview
Entry Level
$97,584
0–2 years
Mid-Level
$128,400
3–5 years
Senior
$166,920
6–10 years
| Experience | Low | Median | High |
|---|---|---|---|
| 0–2 years | $85,874 | $97,584 | $109,294 |
| 3–5 years | $111,708 | $128,400 | $145,092 |
| 6–10 years | $145,220 | $166,920 | $188,620 |
| 11+ years | $182,200 | $211,860 | $241,520 |
Data reflects base salary for Machine Learning Engineers in Minneapolis–St. Paul, MN, 2026. Figures exclude bonus, equity, and benefits. Sources: market surveys, job postings, and aggregated offer data.
Why Machine Learning Engineer Salaries Are This Level in Minneapolis
The Twin Cities tech market is anchored by enterprise tech giants — UnitedHealth/Optum alone employs thousands of engineers — alongside retail tech from Target and Best Buy. Healthcare IT is the dominant vertical.
Minneapolis has one of the best cost-of-living ratios among major US tech hubs. A quality one-bedroom in Uptown or Downtown Minneapolis runs $1,200–$1,800/month. Minnesota's income tax is relatively high at up to 9.85%, though.
Top Minneapolis employers hiring Machine Learning Engineers
Machine Learning Engineer Job Market in Minneapolis: Demand & Hiring Outlook
Minneapolis has established itself as a credible engineering hub, with a growing cluster of tech companies that compete seriously for Machine Learning Engineers. Salaries sit meaningfully below tier-one markets like San Francisco or London, but so does the cost of living — making the purchasing power of an engineering salary here competitive. Hiring demand has been steady, and Machine Learning Engineers with strong fundamentals rarely stay on the market long.
What Machine Learning Engineers in Minneapolis Actually Negotiate For
Base salary is only the starting point. The most experienced negotiators in Minneapolis push for the full package — and the employers who want you badly enough will move on more than just base.
- Equity
- Research time
- GPU compute budget
- Conference access
- Publication rights
Many Machine Learning Engineers leave $15,408–$32,100 on the table annually by not negotiating these elements. A signing bonus alone can be worth one to two months' salary — and it doesn't affect your base going forward.
Skills That Command the Highest Machine Learning Engineer Salaries in Minneapolis
Not all Machine Learning Engineers in Minneapolis earn the same — and the gap between the lower and upper end of the salary range comes down to specific technical and leadership competencies. These are the skills that consistently push offers toward $145,092 and above.
Is your Machine Learning Engineer offer in Minneapolis fair?
You now have the market range: $111,708–$145,092. The next step is knowing exactly where your specific offer sits — and getting the word-for-word script to negotiate it. SalaryAsk benchmarks your offer against live market data, builds your personalised strategy, and lets you practice the conversation with a virtual hiring manager.
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Frequently Asked Questions
What is the average Machine Learning Engineer salary in Minneapolis–St. Paul, MN?
The median Machine Learning Engineer salary in Minneapolis–St. Paul, MN is $128,400 for someone with 3–5 years of experience. Across all experience levels, the range runs from $85,874 for entry-level through to $241,520 for highly experienced or specialised professionals.
Is $111,708–$145,092 a good Machine Learning Engineer salary in Minneapolis?
Yes — for a mid-level Machine Learning Engineer in Minneapolis–St. Paul, MN, $111,708–$145,092 represents the market rate in 2026. If your offer falls significantly below $111,708, it's worth negotiating or understanding why the company is below the market benchmark. Offers above $145,092 typically reflect either a scarce specialisation, a particularly well-funded company, or both.
How much does a Staff ML Engineer / Principal AI Engineer earn in Minneapolis?
Senior Machine Learning Engineers and people moving into Staff ML Engineer / Principal AI Engineer roles typically earn $145,220–$241,520 in Minneapolis–St. Paul, MN. At the most senior levels, total compensation (including equity and bonuses) often substantially exceeds the base salary shown here.
How do I negotiate a Machine Learning Engineer salary in Minneapolis?
The first step is anchoring to market data — you now know the range is $111,708–$145,092. The second is understanding your specific leverage: your experience, the company's urgency to hire, and what competing offers or alternatives you have. SalaryAsk walks you through all of this, generates a personalised negotiation strategy, and gives you the exact language to use in the conversation.
Does remote work affect Machine Learning Engineer salaries in Minneapolis–St. Paul, MN?
It depends on the company's policy. Minneapolis–St. Paul, MN-based companies that allow full remote work sometimes adjust salaries to local market rates if you relocate — but many still pay the Minneapolis band ($111,708–$145,092) regardless of where you work. If you're negotiating a remote arrangement, it's worth explicitly agreeing on whether the salary is tied to your location or to the role's market rate.
What is the difference between a Machine Learning Engineer and a Staff ML Engineer / Principal AI Engineer in terms of pay?
In Minneapolis–St. Paul, MN, the jump from mid-level (around $128,400) to Staff ML Engineer / Principal AI Engineer level typically adds 30–50% to base salary, pushing total compensation well above $241,520. The increase isn't just tenure — it reflects expanded scope, ownership of systems, and the ability to operate without close direction. Companies at the Staff ML Engineer / Principal AI Engineer level also tend to be more flexible on equity and signing bonuses.