Machine Learning Engineer Salary Minneapolis 2026

Quick Answer

About This Role and Market

Machine learning engineers represent one of the fastest-growing segments of the technology workforce. As of 2026, demand for ML expertise continues to surge across industries including healthcare, financial services, retail, and manufacturing. Minneapolis, home to major corporations and a growing tech hub, attracts ML talent, though comprehensive BLS data specifically for this emerging role at the metro level may be limited.

The machine learning engineer role typically requires:

• Education: Bachelor’s degree in computer science, mathematics, statistics, or related field; many positions prefer advanced degrees
• Experience: 2-5 years for mid-level roles; entry-level positions increasingly available for recent graduates
• Key Skills: Python, TensorFlow, PyTorch, SQL, cloud platforms (AWS, GCP, Azure), statistics, and data engineering fundamentals

Notable Cities in the Minneapolis Metro Area

The Minneapolis-Saint Paul metropolitan area includes several major employment hubs:

• Saint Paul — State capital with government tech initiatives and healthcare IT
• Bloomington — Home to major corporate headquarters and tech operations
• Plymouth — Growing suburban tech corridor
• Eden Prairie — Technology and software development cluster

Each of these cities offers different cost-of-living profiles and employment opportunities for ML engineers, though specific salary data by sub-city is not available in the current dataset.

Salary Research Recommendations

Since comprehensive 2026 BLS data for machine learning engineers in Minneapolis is not provided, here’s how to research accurate compensation:

1. Bureau of Labor Statistics OEWS: Search SOC code 15-2091 (Mathematical Science Occupations) or 15-1251 (Computer Programmers), which may include some ML roles
2. H-1B Disclosure Database: Review Department of Labor H-1B Labor Condition Application filings from Minneapolis-area tech companies to see prevailing wage determinations
3. Glassdoor, Levels.fyi, PayScale: Cross-reference with crowd-sourced salary data specific to Minneapolis tech companies
4. LinkedIn Salary Insights: Filter by job title, location, and experience level for real-time market data

Cost of Living in Minneapolis

Understanding Minneapolis cost of living is essential for evaluating any salary offer:

The Minneapolis metro area offers a moderate cost of living compared to major tech hubs like San Francisco, Seattle, or New York. Housing, transportation, and general living expenses are significantly lower than coastal tech centers, which means salary figures should be evaluated in context.

Key cost factors:

• Housing: Minneapolis has a competitive housing market with median home values lower than national tech hub averages
• Rent: Varies by neighborhood; downtown Minneapolis and surrounding areas range from affordable to mid-range
• Taxes: Minnesota has a progressive income tax system; residents should factor state and local taxes into net compensation
• Transportation: Strong public transit in Minneapolis (Metro Transit) reduces transportation costs compared to car-dependent metros

Job Outlook for ML Engineers

Machine learning engineer positions continue to experience strong demand growth. The broader software development field (SOC 15-1251 through 15-1299) shows consistent expansion, with ML specialization commanding premium salaries due to skill scarcity.

Growth factors in Minneapolis:

• Expansion of healthcare IT and medical device companies
• Financial services firms building data science teams
• Retail and e-commerce technology investments
• University research partnerships (University of Minnesota)

FAQ

What skills are most important for a machine learning engineer in Minneapolis?

Machine learning engineers in Minneapolis should prioritize Python proficiency, experience with major ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud platform expertise (AWS, Google Cloud, or Azure). Additionally, strong foundations in statistics, linear algebra, and SQL are essential. Many employers also value experience with data engineering, MLOps, and model deployment—skills that bridge the gap between research and production systems.

How does the Minneapolis tech market compare to other major tech hubs?

Minneapolis offers a growing but less saturated tech market compared to San Francisco, Seattle, or Austin. This can mean slightly lower salaries than peak tech markets, but with significantly lower cost of living—particularly housing costs. For ML engineers, Minneapolis provides a more balanced work-life environment and lower competition for positions, though fewer total opportunities than mega-hubs. The trade-off is favorable for those prioritizing quality of life and lower living expenses.

What is the typical career progression for a machine learning engineer?

Entry-level ML engineers typically start in junior roles (0-2 years), progressing to mid-level (2-5 years) with increased project ownership, then to senior engineer (5+ years) with architectural responsibilities. Senior ML engineers can advance to staff/principal engineer roles, engineering manager positions, or specialized paths like ML infrastructure architect or research scientist. Many Minneapolis-area companies offer clear progression paths with increasing compensation at each level.

Is a master’s degree necessary for a machine learning engineer role in Minneapolis?

While a bachelor’s degree in computer science or related field is standard, a master’s degree is not strictly necessary—especially with strong portfolio projects and professional experience. However, a master’s in Machine Learning, Data Science, or Computer Science can accelerate career progression and salary growth, particularly for research-focused roles. Many successful ML engineers in Minneapolis have built expertise through self-directed learning, bootcamps, and on-the-job experience.

What companies in the Minneapolis area actively hire machine learning engineers?

The Minneapolis metro area includes major employers across healthcare (UnitedHealth Group, Mayo Clinic), financial services (U.S. Bancorp), retail (Target), and technology sectors. Additionally, growing startups and mid-size software companies increasingly seek ML talent. The University of Minnesota also collaborates with industry on AI/ML research initiatives. Specific employer salary data and hiring volume can be found through H-1B disclosure filings and company career pages.

How should I evaluate a machine learning engineer salary offer in Minneapolis?

Evaluate offers holistically: base salary, stock options or equity, signing bonus, relocation assistance, benefits (health, 401k match), professional development budget, and work flexibility. Compare the offer against current market rates using Levels.fyi, Glassdoor, and H-1B databases. Factor in Minneapolis cost of living—a lower salary here may provide better purchasing power than a higher offer in San Francisco or New York. Consider long-term career growth and learning opportunities, not just immediate compensation.

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Data Limitations & Next Steps

The dataset provided does not include specific BLS OEWS salary percentiles, cost-of-living indices, historical trends, or H-1B employer data for machine learning engineers in Minneapolis as of 2026. For comprehensive salary research, consult:

• Bureau of Labor Statistics: www.bls.gov/oes (occupational employment data by metro area)
• Department of Labor H-1B Disclosure Database: www.dol.gov/agencies/eta/foreign-labor
• Census ACS: American Community Survey for Minneapolis metro cost-of-living data
• Zillow ZORI: For current rent trends in Minneapolis neighborhoods

Data source: Research conducted April 2026. Salary information is based on publicly available sources. Actual compensation varies by employer, experience, education, and individual negotiation. This content is informational only and not financial or career advice.