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Artificial Intelligence Machine Learning Engineer Jobs in Rochester, MN

Develop services related to data warehousing, big data, cloud computing, business intelligence, analytics, and machine learning. * Participate in DevOps, Agile, and continuous development and ...

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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 Jul 24, 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 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 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 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 job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Rochester, MN look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Rochester, MN 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:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rochester, MN as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $125,714 per year, or $60.4 per hour.
Health Systems Engineer, Rochester Practice

Health Systems Engineer, Rochester Practice

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 690 frontline employees who took The Breakroom Quiz

104th of 890 rated healthcare providers


Job description


This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on business needs.
The Health Systems Engineer (HSE) has a mature organization perspective and provides business consultative services from discovery to execution for business units and oversight committees requesting assistance with strategy execution, design thinking, management, process, and systems engineering, optimizing operational efficiency, aligning technical solutions with business objectives at Mayo Clinic, applied analytics or business and digital transformation, including automation. Possesses knowledge of and demonstrated application of consulting and engineering expertise in areas such as business vision, strategy execution and goals; digital technology enablement; business use cases; operations optimization; change management; and solution implementation. Performs business case analysis for departments, sites, or shields, including analyzing quantitative and qualitative data, draws conclusions, and develops actionable recommendations to inform leadership decisions. Applies advanced consulting and engineering methods and models throughout project lifecycles (defining client needs and required functionality early in the development cycle, documenting requirements, and then proceeding with design synthesis and system validation while considering the complete problem). Considers both the business and technical needs of all clients with the goal of providing an innovative product that meets current and future customer needs. Can both independently lead and enable moderate to complex projects, which may include subcomponents of larger scale projects as directed by a Senior HSE or Director of Clinical Innovation. Identifies, recommends and implements transformational solutions for departments, sites, and shields including data analysis and applied analytics, operations research methods, new staffing models, organizational structures, workflow and throughput, and digital interventions. Also, evaluates and articulates up/downstream impacts across clinical, research, education and administrative business units throughout the engagement. Leverages lessons learned to create best and next practice models, tools, frameworks and methods enabling sustained transformational capabilities. Experienced in identification and monitoring of performance metrics, risks, and controls. Designs and develops new business processes and capabilities.
Qualifications
Master's degree in management, industrial engineering, systems engineering, operations research, business administration, analytics, artificial intelligence or health-related field is preferred with 1 year of experience to include several of the following areas of consulting, operations optimization, workflow and staffing analysis, management and systems engineering, digital technology enablement, applied analytics and leadership with strategic initiatives OR Bachelor's degree in management, industrial engineering, systems engineering, operations research, business administration, analytics, artificial intelligence or health-related field with 3 years of experience to include several of the following areas of expertise: consulting, operations optimization, workflow and staffing analysis, management and systems engineering, digital technology enablement, applied analytics and leadership with strategic initiatives.
Key Knowledge Required: Advanced knowledge and application of core business consulting and management engineering, methods, models, and frameworks. Proven ability to successfully execute projects of limited to moderate complexity, independently and as part of a team. Strong project management skills, with the ability to prioritize tasks, manage resources, and meet deadlines. Solid understanding of healthcare operations, systems, and workflows preferred. Proficiency in use of office and project simulation, optimization, and visualization tools (MS Excel, Word, Visio, Tableau and other process modeling and mapping, statistical, analytical, data visualization and survey technology) to derive insight and support decision-making. Preferred knowledge and use of Microsoft Power Platform toolset but not required. Ability to gather and document project-based functional and business requirements. Knowledge and demonstrated use of management and systems engineering, applied analytics, operations research, artificial intelligence as well as implementation and execution methods and tools. Proven ability to work as part of a cross-functional team with internal and external stakeholders, including all levels of organization leadership. Strong oral and written communication and presentation skills.
Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorships now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Mayo Clinic does not participate in the F-1 STEM OPT extension program.
About Us
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.

About the Team
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.

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Mayo Clinic logo

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