Senior Principal AI/ML Engineer - Research Sovereign AI jobs in United States
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Mayo Clinic · 1 week ago

Senior Principal AI/ML Engineer - Research Sovereign AI

Mayo Clinic is a leading healthcare provider known for its commitment to patient care and employee development. They are seeking a Senior Principal AI/ML Engineer to lead the development of a unified multimodal EMR representation layer, guiding technical strategy while contributing to model development and team leadership.

BiotechnologyHealth CareHospitalMedicalWellness
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H1B Sponsor Likelynote

Responsibilities

Design and implement Mayo’s multimodal EMR representation AI architecture, including text, imaging, waveform, structured data, temporal sequences, and multi-visit trajectories
Develop graph-based representations and knowledge graphs linking patients, events, attributes, clinical concepts, and embeddings
Integrate graph reasoning, vector similarity search, and hybrid vector–graph pipelines for retrieval-augmented models and agentic reasoning
Define standards for temporal modeling, drift-aware embeddings, and sequence alignment across encounters
Build large-scale embedding pipelines using transformer-based models, contrastive learning, graph neural networks, and hybrid architectures
Implement efficient query layers using vector stores and graph databases
Develop interpretable embedding diagnostics, attribution tools, and graph-based audits to enable safe clinical use
Explore and implement methods for explaining similarity, graph traversals, temporal evolution, and patient-neighborhood reasoning
Work with AI researchers on specialty-specific embeddings, representation refinement, and research prototypes
Collaborate with clinicians to operationalize clinically meaningful features, phenotypes, and longitudinal concepts
Provide scientific input to the Foundational Model Science Program to ensure alignment between representations and model architectures
Serve as founding technical lead of the Reasoning EMR Representation team
Mentor junior scientists and engineers; build a future team specializing in representation learning and graph-based reasoning

Qualification

AIMachine learningGraph databasesTransformer-based modelsVector search systemsContrastive learningTemporal modelingKnowledge graph constructionExplainability in MLPhenotype discoveryTeam leadership

Required

Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field. 9 years of relevant experience, or a bachelor's degree with 11 years of relevant experience
Extensive (9+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technology
Hands-on expertise with graph databases, and knowledge graph construction
Strong experience with transformer-based models, contrastive learning, and temporal modeling
Experience designing or deploying vector search systems and hybrid vector–graph reasoning pipelines

Preferred

PhD or Master's in Computer Science, Machine Learning, Biomedical Engineering, or related field
10+ years experience building production ML systems, including multimodal architectures and representation learning
Experience with EMR data, healthcare multimodality, or clinical data integration
Experience building patient similarity models, temporal embedding systems, or phenotype discovery pipelines
Strong background in explainability, causality, or interpretable ML
Prior experience in a player–coach or team-lead role

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

Mayo Clinic

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MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research.

H1B Sponsorship

Mayo Clinic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (580)
2024 (476)
2023 (491)
2022 (509)
2021 (389)
2020 (583)

Funding

Current Stage
Late Stage
Total Funding
$399.05M
Key Investors
The ALS AssociationNational Institute of Neurological Disorders and StrokeAmerican Heart Association
2025-12-04Grant· $0.95M
2024-09-24Grant· $12M
2023-07-26Grant

Leadership Team

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Gianrico Farrugia
President and CEO
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Richard Gray
Chief Executive Officer
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Company data provided by crunchbase