Senior Algorithm Engineer
Core
Lead end-to-end development of signal processing and machine learning models for a wearable EEG-based brain state monitoring platform used in clinical anesthesia settings.
Role type
Senior Algorithm Engineer (Signal Processing & ML)
Builds
Real-time, deployable brain state estimation algorithms and FDA-cleared medical device features
Domain
Medical devices / Neuroscience / Signal Processing
Deliverable
production ML models
Required skills
Statistical signal processing, Time-series analysis, State-space modeling, Kalman filtering, Python (scientific engineering), AI-assisted development tools
Preferred skills
Medical device development experience, AWS/MLOps, Independent project leadership
Technologies
Python, Kalman filters, EEG sensors, Android tablets
Responsibilities
Design and own signal processing algorithms for feature extraction and artifact removal; Build real-time sequential estimators for live clinical settings; Drive next-generation brain-state estimation from prototype to validated feature; Lead regulated algorithm development under Quality Management System; Mentor team and set technical standards; Collaborate with hardware, software, and clinical teams; Solve complex signal path issues and prototype innovative solutions.
Seniority
Senior, hands-on IC with technical leadership