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 advanced patient monitoring products.
Role type
Principal Engineer (Applied ML/AI Algorithms)
Builds
FDA-cleared, production-grade AI/ML solutions for clinical decision support
Domain
Medical Technology / Healthcare / Physiological Signal Processing
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, MLOps, CI/CD, model evaluation frameworks, cloud/embedded deployment, cross-functional project leadership
Preferred skills
Clinical decision support, physiological/medical time-series data, FDA-regulated environments, data platforms/feature stores, research publications
Technologies
Python, TensorFlow, PyTorch, Cloud, Edge/Embedded
Responsibilities
Lead AI/ML algorithms from exploration to production deployment; Drive technical execution across modeling, data, and software systems; Translate clinical requirements into scalable AI/ML solutions; Design reliable solutions for regulated production environments; Contribute to MLOps infrastructure and experimentation platforms; Mentor engineers and promote best practices; Partner with clinical, regulatory, and product teams
Seniority
Principal, hands-on IC with technical leadership