Senior Algorithm Engineer
Core
Develop, deploy, and maintain machine and deep learning models to analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.
Role type
Senior IC machine learning engineer (biosignals/medical devices)
Builds
Production ML models for at-home EEG and cardiopulmonary diagnostic platforms
Domain
Life Sciences / Medical Devices / Neurology / Sleep Disorders
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Digital signal processing (DSP), Statistics, PyTorch, Model deployment, Software engineering best practices
Preferred skills
Transformer/ViT architectures, Large scale modeling, Biosignals domain knowledge, Medical imaging data, Time-series datasets
Technologies
PyTorch, Docker, CI/CD, Unit testing frameworks
Responsibilities
Lead the biosignal-based algorithm development lifecycle from requirements to production; Select and implement appropriate ML/DL methods for specific problems; Enhance internal ML tools and refine codebase for reusability; Ensure algorithm implementations are well-documented, tested, and validated; Present results to stakeholders and support client-facing projects.
Seniority
Senior, hands-on IC