Staff AI Research Engineer
Core
Develop novel AI/ML algorithms and foundation models for physiological signal processing, sensor fusion, and digital biomarkers in wearable health applications.
Role type
Staff AI Research Engineer (Digital Health)
Builds
Digital health products, algorithms, and intellectual property for wearables and medical devices.
Domain
Digital Health / Biomedical Engineering / AI
Deliverable
production ML models
Required skills
Deep learning on time-series data, transformer models, self-supervised learning, sensor fusion, signal processing, model optimization for edge devices, large-scale distributed training, Python, C++, TensorFlow, PyTorch
Preferred skills
Health foundation models, wearable hardware constraints, on-device ML, clinical workflow understanding
Technologies
AWS, GCP, Azure, EEG, ECG, PPG, LSTMs, attention mechanisms
Responsibilities
Research and develop novel AI/ML algorithms for physiological signals; Design and implement deep learning models for multi-modal biosignals; Scale algorithms to handle large datasets on cloud platforms; Collaborate with hardware/software engineers for on-device inference; Conduct feasibility studies and benchmark AI-driven features; Work with clinical/regulatory teams for model validation; Generate patents and scientific publications.
Seniority
Staff, hands-on IC with strategy & mentorship
