Senior ML & Biosignal Scientist
Core
Design and deploy ML algorithms to extract physiological metrics from noisy wearable sensor data (PPG, motion, temperature) for global health insights.
Role type
Senior IC machine learning scientist (biosignals)
Builds
Production ML models and health insights for wearable devices
Domain
Consumer health tech / wearable biosignals
Deliverable
production ML models
Required skills
Machine learning, biosignal processing, sensor fusion, deep learning (Transformers, RNNs), signal processing, Python, PyTorch, NumPy, SciPy, pandas, scikit-learn, cloud data infrastructure
Preferred skills
Consumer health tech experience, wearable hardware experience, cross-disciplinary team collaboration
Technologies
PyTorch, NumPy, SciPy, pandas, scikit-learn, cloud systems
Responsibilities
Own algorithm lifecycle from signal processing to production deployment; develop deep learning models for physiological metrics; work with hardware prototypes and benchtop testing; translate algorithmic results into technical strategies for leadership
Seniority
Senior, hands-on IC
