Staff Machine Learning Engineer
Core
Develop clinically meaningful AI/ML algorithms for continuous physiological monitoring, disease detection, and predictive clinical decision support using multi-modal healthcare data.
Role type
Staff Machine Learning Engineer (Medical Devices/Healthcare)
Builds
Validated, deployable algorithmic solutions for cloud platforms and edge medical devices
Domain
Healthcare / Medical Devices / Biomedical Signal Processing
Deliverable
production ML models
Required skills
Classical machine learning, deep learning, physiological signal processing, time-series modeling, transformer-based models, Python, PyTorch/TensorFlow, cloud deployment (Azure/AWS/GCP), edge/embedded optimization, model evaluation metrics
Preferred skills
SaMD development, design controls, risk management, signal quality assessment, MLOps, explainable AI
Technologies
PyTorch, TensorFlow, scikit-learn, Azure, AWS, GCP
Responsibilities
Lead design, development, validation, and deployment of AI/ML algorithms; Develop algorithms using multi-modal data (waveforms, EHR, imaging); Build end-to-end algorithm pipelines; Partner with clinical and regulatory teams; Optimize models for cloud and edge constraints; Support verification, validation, and documentation for regulated products.
Seniority
Staff, hands-on IC with strategic contribution
