Principal Scientist, AI / ML
Core
Define scientific and technical direction for AI in structural heart disease, developing foundation models and digital solutions to support clinical decision-making and patient care.
Role type
Principal Scientist, AI/ML (Strategy & Hands-on IC)
Builds
Scalable AI solutions, domain-specific foundation models (NLP, medical imaging, waveforms), and digital therapeutics for structural heart disease.
Domain
Medtech / Structural Heart Disease / Healthcare AI
Deliverable
production ML models
Required skills
Machine learning engineering, foundation model development, generative AI, multimodal AI, self-supervised learning, MLOps, regulatory compliance (SaMD/GMLP), Python programming, data pipeline engineering.
Preferred skills
Computer vision, time-series modeling, agentic systems, physics-informed AI, cloud computing (AWS/Azure), deep learning architectures (Transformers, CNNs, GNNs), data platforms (Snowflake, Databricks). (via careerplan.io/jobs/Req-51183-principal-scientist-ai-ml-at-edwards)
Technologies
PyTorch, TensorFlow, Hugging Face, LangChain, OpenCV, AWS, Azure, Snowflake, Databricks, Git.
Responsibilities
Lead design of scalable AI solutions; develop domain-specific foundation models; drive research in generative and multimodal AI; ensure model safety, fairness, and robustness; incubate new technology opportunities; mentor junior engineers; partner with clinical and regulatory teams for validation; build data pipelines for LLMs and ML models.
Seniority
Principal, strategy & mentorship
