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 (https://jobs.mayoclinic.org/benefits/) – 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. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

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 particular Senior AI-ML Engineer will serve as a product software quality expert for the team. As such, we prefer a candidate with the following background:

• Considerable experience in quality engineering / quality assurance role.

• Comfortable reporting to all levels of management.

• Experience with software defect lifecycle and defect tracking systems.

• Experience planning, leading, and executing software verification and validation activities.

• Capable of distinguishing and instructing in different types of software tests (functional, performance, stress/stability, memory leak, negative testing, integration, system, GUI)

• Comfortable facilitating beta and customer acceptance testing.

• Capable of creating test jigs and harnesses as needed.

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, or 10 years of experience with an HS Diploma/GED may be considered.

• Extensive experience applying AI and machine learning in production healthcare environments, 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. in engineering, computer science, health science, or a related analytical/quantitative field 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.

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.

Exemption Status

Exempt

Compensation Detail

$134,888 - $195,624/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

M-F, 8am-5pm 100% remote role The employee must live within the US.

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. (https://jobs.mayoclinic.org/alllocations)

Affirmative Action and Equal Opportunity Employer

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

Recruiter

Laura Percival

Equal opportunity

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.