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Artificial Intelligence Machine Learning Engineer Jobs in Rochester, MN

GDIT

Full Stack Engineer-Junior

Rochester, MN · Hybrid

$102K - $138K/yr

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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 Jun 21, 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

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 engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

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.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
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:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rochester, MN as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,714 per year, or $60.4 per hour.
Senior Principal AI/ML Engineer - Research Sovereign AI

Senior Principal AI/ML Engineer - Research Sovereign AI

Mayo Clinic

Rochester, MN

$127K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

106th of 874 rated healthcare providers

Job description

Position Summary

The Senior Principal AI/ML Engineer  for AI Representation & EMR Vectorization is the senior technical leader and lead scientist responsible for architecting Mayo Clinic's unified multimodal EMR representation layer. This role defines and builds the scientific substrate used by foundational models, clinical agents, and research applications. The individual serves as a hands-on expert and player-coach, guiding technical strategy while contributing directly to model development, graph construction, and representation science. Over time, this position will build and lead a specialized team. 

Key Responsibilities

Scientific & Technical Leadership

  • Design and implement Mayo's multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories.
  • Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings.
  • Integrate graph reasoning, vector similarity search, and hybrid vector-graph pipelines for retrieval-augmented models and agentic reasoning.
  • Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters.

Hands-On Modeling & Engineering

  • Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures.
  • Implement efficient query layers using vector stores and graph databases.
  • Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use.
  • Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning.

Cross-functional Collaboration

  • Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes.
  • Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts.
  • Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures.

Team Leadership

  • Serve as founding technical lead of the Reasoning EMR Representation team.
  • Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning.
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.

Required

  • Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field. 9 years of relevant experience, or a bachelor's degree with 11 years of relevant experience. 
  •  Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology.
  • Hands-on expertise with graph databases, and knowledge graph construction.
  • Strong experience with transformer-based models, contrastive learning, and temporal modeling.

  • Experience designing or deploying vector search systems and hybrid vector-graph reasoning pipelines.

Preferred

  • PhD or Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field.
  • 10+ years experience building production ML systems, including multimodal architectures and representation learning.
  • Experience with EMR data, healthcare multimodality, or clinical data integration.
  • Experience building patient similarity models, temporal embedding systems, or phenotype discovery pipelines.
  • Strong background in explainability, causality, or interpretable ML.
  • Prior experience in a player-coach or team-lead role.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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