Senior Machine Learning Engineer
Core
Designing and deploying machine learning algorithms to convert optical brain signals from ICU patients into clinically meaningful outputs for a regulated medical device.
Role type
Senior Machine Learning Engineer (Medical Device / Time-Series)
Builds
Production ML models for non-invasive neuromonitoring hardware
Domain
Healthcare / Medical Devices / Signal Processing
Deliverable
production ML models
Required skills
Deep theoretical ML knowledge, Python, time-series modeling, model deployment to edge/embedded systems, experiment tracking, reproducible workflows
Preferred skills
Physiological/biological data experience, signal processing (spectral analysis, filtering), regulated development environments (SaMD, IEC 62304), publications/patents
Technologies
Python, neural networks, transformers, state space models
Responsibilities
Design and validate ML architectures for physiological signal inference, lead end-to-end delivery of ML workstreams, develop robust training pipelines and evaluation frameworks, write production-quality code for handover to software engineering, collaborate with physicists and clinicians to translate domain knowledge into modeling constraints, drive engagement with ML research literature, contribute to publications and technical documentation
Seniority
Senior, hands-on IC