Senior AI/ML Engineer - Platform
Mayo Clinic1 day ago
Rochester, MN, USASenior
Responsibilities
- Lead the design, development, integration, standardization, and deployment of end-to-end AI solutions for healthcare applications.
- Apply machine learning techniques including deep learning, natural language processing, computer vision, and large language models.
- Establish evaluation methodologies and performance metrics for AI effectiveness, usability, and real-world healthcare impact.
- Engineer and maintain tools, software components, testing processes, and associated automated release pipelines.
- Manage cloud infrastructure, including provisioning, configuration, cost management, and production monitoring of services and deployed models.
- Develop AI engineering, data engineering, MLOps, quality, verification, validation, and risk-mitigation practices for regulated digital health products.
- Collaborate with clinicians, designers, product managers, IT professionals, and external partners to assess needs, workflows, requirements, and feasibility.
- Provide consultation, training, technical reporting, and explanations of complex findings to clinical and non-technical stakeholders.
- Mentor junior engineers and provide technical leadership to the AI enablement team.
- Contribute to new AI methods and technologies for healthcare.
Requirements
- Master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, or a bachelor’s degree in one of these areas with 6 years of experience.
- Extensive experience applying AI and machine learning in production healthcare environments or similarly regulated or technology-focused industries.
- Demonstrated leadership managing complex projects and leading technical or quantitative teams in regulated environments.
- Expertise in cloud infrastructure, software development tools, AI/ML techniques, and frameworks.
- Experience working with large, complex, heterogeneous datasets, preferably healthcare data.
- Knowledge of data engineering, data science, AI engineering, MLOps, quality engineering, regulatory standards, and compliance frameworks.
- Experience creating risk management files and verification and validation strategies for digital health technology products.
- Preferred expertise with deep learning, natural language processing, generative AI, Python, TensorFlow, PyTorch, scikit-learn, and Keras.
- Knowledge of clinical workflows, electronic health records, medical terminologies, healthcare regulations, and industry standards.
- Experience with user-centered design, human factors engineering, usability testing, expert reviews, and evaluation methodologies.
- Strong communication, collaboration, interpersonal, education, mentoring, technical reporting, and time-management skills.
- A Ph.D. or other doctorate is preferred.
Benefits
- The position is not eligible for sponsorship, and Mayo Clinic will not sponsor or transfer visas for this position.
- Mayo Clinic does not participate in the F-1 STEM OPT extension program.
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About Mayo Clinic
Mayo Clinic is a nonprofit academic medical center and health system providing hospital and specialty care, research, and medical education to patients globally. It operates major campuses in Rochester, Minnesota (headquarters), Phoenix/Scottsdale, Arizona, and Jacksonville, Florida, plus a regional health system across the Midwest. Revenue comes primarily from clinical services, complemented by research grants and education programs; specialties include heart care, cancer, transplantation, and neurosciences.