Algorithm Engineer
Core
Developing and deploying AI algorithms for FDA-cleared EEG headbands to discover biomarkers for neurological, psychiatric, and sleep disorders.
Role type
Senior Machine Learning Engineer (Biosignals/Health Tech)
Builds
Production ML models for medical devices and cloud-native analytics platforms
Domain
Healthcare / Biosignals / Precision Medicine
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Digital signal processing (DSP), Statistics, PyTorch, Software engineering best practices, CI/CD, Experiment tracking
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
Responsibilities
Lead the full algorithm development lifecycle from requirements to production deployment, Select and implement appropriate ML/DL methods for biosignal problems, Enhance internal ML tools and codebase, Present technical results to stakeholders and clients
Seniority
Senior, hands-on IC