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Artificial Intelligence Machine Learning Engineer Jobs in Rochester, MN

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN · On-site

$67K - $78K/yr

... Machine Learning and Artificial Intelligence (AI). The position is for a 2-year paid fellowship ... D. in Computer Science, Electrical Engineering, or a related field with a strong emphasis on AI ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Rochester, MN

Artificial Intelligence Machine Learning Engineer information

See Rochester, MN salary details

$30.8K

$125.7K

$188.9K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence machine learning engineer in Rochester, MN is $125,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Rochester, MN?

For Artificial Intelligence Machine Learning Engineer jobs in Rochester, MN, the most frequently searched job titles are:

What cities near Rochester, MN are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Rochester, MN with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $125,714 per year, or $60.4 per hour.

Research Associate - Health Care Delivery

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 705 frontline employees who took The Breakroom Quiz

135th of 898 rated healthcare providers

Job description

We seek a highly motivated Research Associate with strong foundations in both theoretical artificial intelligence/machine learning (AI/ML) and applied data-driven research, particularly in health and biomedical domains. The position is for a 1-2-year paid fellowship working under the mentorship of Dr. Hojjat Salehinejad. The ideal candidate will demonstrate deep expertise in the mathematical and algorithmic principles underlying modern AI systems, as well as the ability to translate these methods into impactful real-world solutions to improve patient outcomes.
 

Required Qualifications
The candidate must possess strong expertise in:
    Data structures and algorithms, with rigorous understanding of computational complexity and optimization
    Stochastic processes, statistical learning theory, and machine learning, including deep learning
    Theoretical foundations of AI/ML, such as probabilistic modeling, generalization theory, optimization methods, and representation learning
    Advanced programming in Python, including scientific computing and ML libraries (e.g., Pandas, Scikit-learn)
    Deep learning frameworks such as TensorFlow and/or PyTorch
    Linux environments and shell scripting
    Database systems (e.g., MySQL, Redis)
    Containerization technologies (e.g., Docker)
 

Experience with Google Cloud Platform (GCP) or other large-scale cloud computing environments is considered a plus.
 

The candidate must have a strong track record of peer-reviewed publications demonstrating both methodological rigor and applied impact. Excellent proficiency in all four English language skills is required, with particular strength in scientific writing and manuscript preparation.
 

Role and Responsibilities
The Research Associate will work independently and lead research initiatives at the intersection of AI/ML methodology and healthcare transformation. Responsibilities include:
    Designing and developing novel AI/ML algorithms grounded in solid theoretical principles
    Translating advanced computational methods into deployable solutions for healthcare systems
    Leading interdisciplinary collaborations
    Publishing high-impact scientific work
    Contributing to health services research (HSR), health policy, and quantitative health sciences
 

Research activities may intersect with different clinical departments across the Mayo Clinic where advanced computational and statistical modeling approaches are required. The successful candidate will combine strong theoretical depth with demonstrated ability to implement scalable, clinically meaningful AI systems that improve patient care and health outcomes.
 

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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