Senior 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 products.
Role type
Senior Applied ML/AI Engineer (Healthcare)
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, software engineering, cross-functional collaboration
Preferred skills
Clinical decision support, physiological time-series data, FDA-regulated environments, feature stores, research publications
Technologies
Python, TensorFlow, PyTorch, Cloud, Edge/Embedded environments
Responsibilities
Develop AI/ML algorithms from exploration to production deployment; Design and validate reliable, deployable models; Contribute to MLOps infrastructure and experimentation platforms; Partner with clinical and regulatory teams to bring solutions to market
Seniority
Senior, hands-on IC