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.
• 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.
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.
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.
Skills Required
- Master's degree in engineering, computer science, mathematics, health science, or related field with 4 years' experience OR Bachelor's degree with 6 years' experience.
- Extensive experience applying AI/ML in production healthcare environments or similarly regulated/technology-focused industries.
- Demonstrated leadership managing complex projects and delivering successful outcomes.
- Ability to communicate complex technical concepts to non-technical stakeholders and foster cross-functional collaboration.
- Demonstrated expertise in cloud infrastructure environments and software development tools.
- Experience working with large, complex, heterogeneous datasets, preferably in healthcare.
- Skilled in AI/ML techniques and frameworks (deep learning, NLP, computer vision, LLMs).
- Familiarity with data engineering, data science, AI engineering best practices and MLOps.
- Initiative in administration, education, software development, and technical reporting.
- Commitment to mentoring and training less-experienced team members with strong interpersonal and time-management skills.
- Ph.D. or other doctorate.
- Proficiency with tools such as Python, TensorFlow, PyTorch, scikit-learn, Keras.
- Knowledge of healthcare domain: clinical workflows, EHRs, medical terminologies, regulatory requirements.
- Familiarity with quality engineering best practices, regulatory standards, and compliance frameworks.
- Experience creating risk management files and verification/validation strategies for digital health products.
- Expertise in user-centered design, human factors engineering, and usability testing methodologies.
Mayo Clinic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mayo Clinic and has not been reviewed or approved by Mayo Clinic.
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Retirement Support — A no-cost pension plus an employer-matched 403(b)/401(k) is positioned as a standout differentiator, offering strong long-term financial security. Feedback suggests this retirement combination elevates overall total rewards even when base pay is moderate.
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Healthcare Strength — Expanded medical networks, enhanced fertility coverage, and employer absorption of a plan year’s premium increases point to robust healthcare offerings. Feedback suggests annual updates maintain breadth and competitiveness of coverage.
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Parental & Family Support — Adoption assistance, dependent scholarships, child and elder-care resources, and EAP services provide meaningful family-oriented support. Feedback suggests these programs add tangible value beyond salary alone.
Mayo Clinic Insights
What We Do
Mayo Clinic is the first and largest integrated, not-for-profit medical group practice in the world. Doctors from every medical specialty work together to care for patients, joined by common systems and a philosophy of "the needs of the patient come first." More than 3,800 physicians and scientists and 50,900 allied health staff work at Mayo Clinic, which has sites in Rochester, Minn., Jacksonville, Fla., and Scottsdale/Phoenix, Ariz. Mayo Clinic also serves over 70 communities through Mayo Clinic Health System with locations in MN, IA, and WI. Collectively, these locations care for more than 1 million people each year.
