Senior ML Algorithm Scientist
Core
Develop and deploy advanced ML algorithms to fuse multimodal biosensor data (PPG, motion, temperature) into reliable health metrics for wearable rings.
Role type
Senior hands-on ML algorithm scientist
Builds
Production-ready health metrics and features for the Oura Ring
Domain
Consumer health / Wearable biosensors / Time-series signal processing
Deliverable
production ML models
Required skills
Machine learning, Deep learning (Transformers, RNNs), Signal processing, Sensor fusion, Python, PyTorch/TensorFlow, Physiology knowledge, Scalable data systems, Hardware-software integration
Preferred skills
Consumer health products, Wearable sensors, Digital health applications
Technologies
PyTorch, TensorFlow, NumPy, SciPy, pandas, matplotlib
Responsibilities
Develop and deploy advanced ML algorithms leveraging deep learning and classical signal processing; Design robust methods for fusing time-series data from multiple sensors; Work hands-on with prototype sensors and evaluation kits; Collaborate with hardware, firmware, and data infrastructure teams; Translate technical results into narratives for senior stakeholders
Seniority
Senior, hands-on IC
