Role Description 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 Principal AI/ML Engineer, you will lead 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 - Genomic information - Other multimodal data sources This includes guiding the design and evaluation of: - Foundation models - Vision encoders - Multimodal architectures - Representation learning approaches - Data fusion strategies 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 and provide technical leadership on model architecture decisions, including: - Multimodal learning approaches - Model adaptation strategies - Evaluation methodologies - Interpretability techniques - Performance optimization for clinical AI systems This will 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 set 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 leading consultative services to departments and divisions, offering insights into complex business problems. The role requires deep technical judgment in understanding how AI models learn, represent information, and perform across diverse clinical modalities, enabling informed decisions regarding: - Model design - Explainability - Reliability - Clinical suitability 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. Senior Principal AI/ML Engineers are recognized as top technical authorities in the field of AI/ML and play a critical role in driving innovation and shaping the strategic direction of AI/ML initiatives at Mayo Clinic. Qualifications - Deep technical expertise in AI/ML technologies and methodologies. - Strong understanding of clinical workflows and healthcare data. - Proven ability to lead multidisciplinary teams. - Excellent communication skills for conveying complex information to non-technical users. Requirements - Providing strategic direction and technical leadership for AI Engineering initiatives. - Working with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectives. - Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice. - Leading collaboration with multidisciplinary teams to understand user needs and assess feasibility. - Leading interpretation of data analysis to guide strategic choices. - Leading consultative services to clinical work units or AI product teams. - Leveraging machine learning techniques such as deep learning, natural language processing, and computer vision. - Establishing rigorous evaluation methodologies and performance metrics. - Ensuring compliance with ethical guidelines, regulatory requirements, and data privacy standards. - Overseeing the engineering of systems crucial for developing and deploying AI solutions. - Facilitating consistent and automated AI software solution development and releases. - Defining and implementing best practices and standards for AI development. - Providing mentorship and technical leadership to junior engineers. - Fostering a culture of collaboration, innovation, and knowledge sharing. - Supporting talent development initiatives. - Contributing to the development of new AI methods and technologies. - Publishing and presenting results of AI development in peer-reviewed journals and conferences. Benefits - 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. Company Description 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. With continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.