AI Research Engineer Jobs in Minnesota
AI Research Engineer jobs in Minnesota are concentrated in the Twin Cities metro, with additional activity in Rochester and Duluth, where employers across healthcare technology, financial services, and enterprise software are building out applied ML and NLP research teams. Companies like UnitedHealth Group, 3M, and Mayo Clinic have lasting research engineering presences in the state, hiring at levels from associate researcher to principal and staff engineer. The most in-demand specialties are large language model development, computer vision, and reinforcement learning for clinical and enterprise applications. Scan the live roles below and apply to whichever ones fit.
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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.
- 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.
Responsibilities
The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team. The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence. As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice. The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
#RadMedPhysics
Qualifications
- Education: A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline.
- Technical Proficiency: Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods.
- Core Skills: Excellent communication skills and a demonstrated ability to lead work across organizational boundaries.
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
-
Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
Exemption Status
Exempt
Compensation Detail
The minimum starting salary for PhD/Doctoral specialties may range from $136,643 to $280,250. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Traditional day hours – will be discussed at interview
International Assignment
No
Site Description
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.
Recruiter
Jeff Eigenheer
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.
- 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.
Responsibilities
The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team. The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence. As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice. The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.
- Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
- AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
- Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
- Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
- Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.
This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.
#RadMedPhysics
Qualifications
- Education: A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline.
- Technical Proficiency: Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods.
- Core Skills: Excellent communication skills and a demonstrated ability to lead work across organizational boundaries.
- Experience Level: 3+ years of post-terminal degree experience.
- Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
- Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
-
Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
- Successful AI, analytics, or advanced technology deployments in operational settings.
- Product development, translational research, patents, or technical leadership.
- Demonstrated improvements in clinical or operational outcomes.
- Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).
Exemption Status
Exempt
Compensation Detail
The minimum starting salary for PhD/Doctoral specialties may range from $136,643 to $280,250. This range reflects full-time total base compensation prior to consideration of additional experience or duties. Pay for the selected candidate will vary based on specialty, experience, FTE, internal equity, or external market data.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
Traditional day hours – will be discussed at interview
International Assignment
No
Site Description
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.
Recruiter
Jeff Eigenheer
See All 6 AI Research Engineer Jobs in Minnesota
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Where Minnesota roles are concentrated, by current openings.
AI Research Engineer Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring
What Minnesota Employers Look For
The qualifications that appear most often in AI research engineer jobs across Minnesota.
- Master's or PhD in computer science, machine learning, or a related quantitative field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Demonstrated ability to publish or apply research in NLP, computer vision, or reinforcement learning
- Familiarity with cloud-based ML infrastructure on AWS, Azure, or Google Cloud Platform
- Strong communication skills for presenting research findings to technical and non-technical stakeholders
AI Research Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a ai research engineer in Minnesota?
Becoming an ai research engineer in Minnesota typically requires a graduate degree in computer science, machine learning, statistics, or a related field, though some employers accept strong bachelor's candidates with a compelling research portfolio. There is no state-issued license for this role in Minnesota. Employers here place significant weight on published research, open-source contributions, or applied project work demonstrating model development from problem framing through deployment.
How much do AI research engineers make in Minnesota?
AI research engineers in Minnesota earn a median of about $135,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,920 for the lowest 10% to over $174,740 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai research engineers in Minnesota?
Minnesota ai research engineer roles are posted by Loram, Target, and Kitware and others right now, based on current listings on Migrate Mate as of September 2026. Minnesota's concentration of large healthcare, financial services, and industrial technology employers means a significant share of openings involve applied research in regulated or high-stakes domains.
Which Minnesota cities have the most ai research engineer jobs?
Minneapolis, Eagan, and Hamel lead Minnesota in ai research engineer openings. The Minneapolis-Saint Paul metro drives the largest share because it anchors the state's enterprise technology, healthcare, and financial services sectors, while Rochester's concentration of medical research institutions and Duluth's growing technology community contribute additional demand outside the Twin Cities core.
Are there remote ai research engineer jobs in Minnesota?
Yes, and more than most fields. About 100% of ai research engineer openings tied to Minnesota are remote or hybrid as of September 2026, reflecting the nature of research and modeling work that requires a laptop and cloud access rather than physical presence. Roles focused on data pipeline development, model evaluation, and literature synthesis tend to be the most remote-eligible.
How can I get hired as a ai research engineer in Minnesota with little or no experience?
The most realistic entry path is securing a research internship or graduate research assistantship through a University of Minnesota or Mayo Clinic program, then converting that into a full-time associate or junior research engineer role. Large Minnesota employers like UnitedHealth Group and 3M run structured new-grad hiring programs for candidates coming out of graduate research. Building a public portfolio of model experiments on GitHub and contributing to open-source ML projects strengthens a candidacy significantly when formal experience is limited.
Where can I find and apply to ai research engineer jobs in Minnesota?
You can find and apply to ai research engineer jobs in Minnesota on Migrate Mate, which lists current openings in the state. Search the available roles, identify the ones that match your background and interests, and apply directly through each listing.
See All 6 AI Research Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
Find AI Research Engineer Jobs