Senior AI/ML Engineer (Hybrid)

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Senior AI/ML Engineer (Hybrid)

Job ID 389294 Date posted 08/17/2026

• Rochester, MN
• Full Time
• Remote: No

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Overview

Be challenged to deliver innovative solutions that will change health care.

Mayo Clinic's tech culture is rooted in passion for technology, embraces innovative thinking and strives for high performance. Our teams drive change in health care through comprehensive connected health and digital transformation strategies.

Some examples of our major initiatives are:

• Utilizing artificial intelligence and machine learning principles to develop next generation patient centric care systems
• Transforming the practice by applying data science techniques to discover new approaches to health care delivery
• Leveraging Enterprise Architecture to construct integration centricity, promote data liquidity, and provide innovation support

This transformation creates, connects and applies integrated knowledge to deliver the best health care, health guidance and health information to patients, customers, partners, providers, employees anywhere and anytime so the needs of the patient come first.

Job Description

CityRochester

StateMN

RemoteNO

DepartmentDigital

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.

Responsibilities

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.

As a Senior AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.

This role is instrumental in providing consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.

• Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations.
• Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions.
• Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications.
• Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness, usability, and impact in real-world healthcare settings.
• Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications.
• Overseeing the engineering of systems crucial for developing and deploying AI solutions.
• Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.
• Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms.
• Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team.
• Providing consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems.
• Providing training and education to healthcare staff on AI tools and technologies.
• Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Qualifications

• A master's degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor's degree with 6 years of experience.
• Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.
• Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes.
• Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Demonstrated expertise in cloud infrastructure environment and software development tools.
• Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
• Skilled in AI/ML techniques and frameworks.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Demonstrated initiative in administration, education, software development, and technical reporting.
• A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.

Preferred Qualifications:

• A Ph.D. or other doctorate is preferred.
• Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc.
• Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
• Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
• Demonstrated experience leading technical/quantitative teams in a regulated environment.
• Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.
• Strong expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice.

Exemption Status

Exempt

Compensation Detail

$141,024.00 - $ 204,526.40 / year.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday-Friday, Normal business hours. This is a hybrid position and must be located within 100 miles of the Mayo Clinic campus in Rochester, MN for occasional on-site expectations based on business needs.

Weekend Schedule

N/A

International Assignment

No

Site Description

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.

Recruiter

Joy Kundrata

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Career Path

Discover unlimited opportunities. Your IT career may start as a Help Desk Specialist or Work Station Technician, an intern, or entry-level Analyst/Programmer and develop into a mid- or senior-level technical position. You may choose to grow laterally as a technical expert, learning and supporting many different aspects of IT services. Or you may choose to become part of the leadership team.

• Applications
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• Enterprise Infrastructure
• Enterprise Architecture
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• Project Management and Systems Analysis
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The Life Changers

• When you choose an IT career with Mayo Clinic you will have an opportunity to engage with new and innovative solutions which will improve quality of life and patient outcomes. You will partner with brilliant Physicians and Scientists to help drive translational medicine in a fast-paced environment where creativity, energy, and dedication will result in success."

Marie Koctecki

Senior Manager, IT Service Delivery

• Over the span of my career, I have worked in multiple divisions across IT and have now advanced to a Service Delivery Manager role, managing a Project Management Office (PMO). The opportunities within the department of IT are vast. I have been able to gain my Project Management Professional (PMP) certification as well as my Certified Scrum Master (CSM) certification while at Mayo Clinic."

Betty Hutchins

Manager, IT Service Delivery

• I appreciate the breadth of career paths within IT and the ability to branch out and diversify my professional expertise while remaining with Mayo Clinic. The diverse backgrounds and depth of expertise of my coworkers is an attribute of Mayo's unique culture; I enjoy the opportunity to work with so many world-renowned experts and thought leaders across a wide array of professions."

Samanthie Epps

Manager, IT Speciality Systems

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