Senior Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring
Core
Lead the development and deployment of advanced ML/AI models for physiological signal understanding and clinical decision support in regulated medical environments.
Role type
Senior Principal Engineer (Applied ML/AI Algorithms)
Builds
Production-grade AI/ML systems for advanced patient monitoring and clinical decision support
Domain
Healthcare / Medical Technology / Physiological Signal Processing
Deliverable
production ML models
Required skills
PhD or MS/BS with 7+ years experience in AI/ML, experience building and deploying applied AI/LLM/agentic systems, deep expertise in modern ML/DL frameworks, experience with cloud/edge/embedded deployment, designing robust evaluation frameworks, mentoring engineers, translating clinical needs into scalable solutions
Preferred skills
experience with clinical decision support, physiological/medical time-series data, FDA/regulated development environments, building data platforms or feature stores
Technologies
ML/DL/AI frameworks, cloud platforms, edge/embedded systems, MLOps tools
Responsibilities
Lead AI/ML algorithm development from exploration to production, set technical direction across modeling and data, architect reliable solutions for regulated environments, build and scale experimentation/MLOps infrastructure, mentor engineers, partner with clinical and regulatory teams
Seniority
Senior, hands-on IC with significant technical leadership