Algorithm Engineer
Core
Develop, deploy, and maintain machine learning and deep learning models to analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.
Role type
Senior Machine Learning and Algorithm Engineer (Health Sciences)
Builds
Production ML models for at-home EEG and cardiopulmonary diagnostic platforms
Domain
Life Sciences / Neurology / Biosignals
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Digital signal processing (DSP), Statistics, PyTorch, Model deployment, Software engineering best practices
Preferred skills
Experience in health sciences or regulated fields, Familiarity with biosignals or medical imaging data, Knowledge of Transformer/ViT architectures
Technologies
PyTorch, Docker, CI/CD pipelines, Experiment tracking tools
Responsibilities
Lead the algorithm development lifecycle from requirements to production deployment, Select and implement appropriate ML methods for specific problems, Enhance internal ML tools and codebase, Present results to stakeholders and support client-facing projects
Seniority
Senior, hands-on IC