Staff AI Research Engineer - Digital Health

The role

This person will research and develop novel AI/ML algorithms and foundation models for physiological signal processing and digital biomarkers in wearable health applications. They will deploy and validate algorithms and transfer outcomes to production and scientific publications.

What you will do

• Research and develop novel AI/ML algorithms and foundation models for physiological signal processing, sensor fusion, and digital biomarkers
• Design and implement deep learning and statistical models to analyze multi-modal biosignals
• Scale algorithms to handle large, multi-terabyte datasets on cloud platforms
• Collaborate with hardware and software engineers to integrate AI models into wearable platforms
• Conduct feasibility studies, benchmark AI-driven features, and refine models
• Work with clinical and regulatory teams to ensure model robustness and compliance
• Stay up-to-date with advancements in digital health, computational neuroscience, and edge AI
• Generate patents and scientific research papers

Required qualifications

• PhD in AI, Machine Learning, Biomedical Engineering, Computer Science, or a related field or equivalent combination of education, training, and experience
• 3+ years of experience in data analytics and project experiences in health foundation models, wearable computing, and algorithm development for health applications
• 3+ years of experience in ML/DL frameworks (TensorFlow, PyTorch) and programming languages (Python, C++)
• Track record of publishing in high-impact AI/ML venues or top-tier journals
• Experience with deep learning on time-series data and sequence models
• Experience with time-series analysis, signal processing, and sensor fusion for wearable or biomedical applications
• Familiarity with biomedical sensing modalities (EEG, ECG, PPG, SpO2, etc.)
• Experience designing and optimizing algorithms to work with large-scale datasets and distributed computing environments
• Experience in developing PoCs and exploratory research projects in emerging sensing technologies

Nice to have

• Understanding of clinical workflows and healthcare data privacy considerations (HIPAA, FDA, MDR, etc.)
• Knowledge of wearable hardware constraints, power optimization, and real-time processing
• Familiarity with on-device ML optimization and model compression techniques
• Experience scaling algorithms and model training on cloud compute infrastructure (AWS, GCP, Azure) or distributed computing environments

Benefits

• Annual bonus eligibility
• Generous benefits

Before you apply

• You must not disclose any trade secrets of a current or previous employer

About the company

Samsung Research America Digital Health Team researches, develops, and commercializes innovative digital health products and solutions. They leverage wearables, smartphones, medical devices, AI, and health services.