Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring
Core
Develop and deploy advanced ML/AI models for physiological signal understanding and clinical decision support in patient monitoring systems.
Role type
Principal Engineer (Applied ML/AI Algorithms)
Builds
FDA-cleared, production-grade AI/ML solutions for advanced patient monitoring
Domain
Medical Technology / Healthcare / Physiological Signal Processing
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, MLOps, CI/CD, model evaluation frameworks, cloud/edge/embedded deployment, cross-functional project leadership
Preferred skills
clinical decision support, physiological time-series data, FDA-regulated environments, feature stores, research publications
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Lead AI/ML algorithms from exploration to production deployment; drive technical execution across modeling, data, and software systems; translate clinical requirements into scalable solutions; design reliable systems for regulated environments; contribute to MLOps infrastructure; mentor engineers; partner with clinical and product teams
Seniority
Principal, hands-on IC with technical leadership
