Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence Group)
Core
Design, train, and deploy deep-learning and machine-learning models to extract reliable insights from noisy time-series biosensor data for wearable health devices.
Role type
Senior Machine Learning Research Engineer (Deep Learning, Sensor Intelligence)
Builds
Production ML inference systems and regulated health features for wearable devices
Domain
Wearable technology / Digital Health / Biosensor Data
Deliverable
production ML models
Required skills
Deep learning techniques, Time series data analysis, Signal processing, Python (scientific stack), PyTorch, TensorFlow, Cloud computing (AWS/GCP), Model optimization for edge/cloud, Research paper publication
Preferred skills
Foundation AI models, Regulated/high-risk ML systems experience, Biomedical data application
Technologies
PyTorch, TensorFlow, AWS, GCP
Responsibilities
Design and train DL/ML models for biosensor data, Conduct experiments and rigorous testing, Optimize models for production deployment, Collaborate on translating research prototypes to scalable systems, Support documentation for regulated health features, Monitor algorithm performance across user populations
Seniority
Senior, hands-on IC with research focus