Senior AI Research Engineer - Digital Health Wearables

Samsung-Research-America; Mountain View (CA); On-site; USD 185,000 - 254,000; Full time

Job summary

Samsung Research America is seeking a Ph.D.-level Senior AI Research Engineer to advance digital health research using ML/AI techniques on wearable and medical data. You will develop scalable foundation models, work with health data such as EEG/ECG, and collaborate with clinical teams to ensure regulatory compliance and real-world impact.

The role emphasizes on-device inference, data analytics, and publishing findings in top venues.

Qualifications

• PhD or equivalent in AI, ML, or related field.
• 3+ years of analytics in health AI, wearables, or similar.
• Experience with health foundation models pre/post training and algorithm development.
• Publication history in AI/ML venues or top journals.

Responsibilities

• Research novel AI/ML algorithms for physiological signals in wearables.
• Design deep learning models for multi-modal biosignals in real-time and batch settings.
• Scale algorithms across cloud platforms while maintaining efficiency.
• Collaborate with hardware/software teams to enable on-device inference in wearables.
• Conduct feasibility studies and benchmark AI-driven features for scalability.
• Work with clinical/regulatory teams to ensure robustness and compliance.
• Generate patents and publish scientific papers for top-tier venues.

Skills

PhD in AI/ML

3+ years data analytics

TensorFlow PyTorch

Publish in AI venues

Time-series & sensor fusion

Healthcare data privacy

Education

PhD in AI/ML or Biomedical Engineering

Tools

TensorFlow

PyTorch

Python

C++

Job description

Samsung Research America is seeking a Ph.D.-level Senior AI Research Engineer to advance digital health research using ML/AI techniques on wearable and medical data. You will develop scalable foundation models, work with health data such as EEG/ECG, and collaborate with clinical teams to ensure regulatory compliance and real-world impact.

The role emphasizes on-device inference, data analytics, and publishing findings in top venues.