Senior AI Research Engineer - Digital Health & Wearables

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

Job summary

Samsung Research America seeks a Ph.D.-level Senior AI Research Engineer to advance digital health technologies across wearables, clinical data, and AI models. You will scale algorithms to large real-world datasets and transfer results to production and publications.

You will collaborate with hardware and software teams on health foundation models, time-series data, and multi-modal biosignals, aiming for top-tier publications.

Qualifications

• PhD in AI/ML/BME/CS or related field.
• 3+ years of data analytics with health foundation models and wearables.
• 3+ years of ML/DL with Python/C++ and major frameworks.
• Track record in AI research and publications.

Responsibilities

• Research and develop novel AI/ML algorithms and foundation models for physiological signals.
• Analyze multi-modal biosignals (EEG/ECG/PPG) in real-time and batch settings.
• Scale algorithms for large, multi-terabyte datasets on cloud platforms.
• Collaborate with hardware/software teams to enable on-device inference.
• Conduct feasibility studies and benchmark AI-driven features.
• Ensure model robustness and compliance with healthcare standards.
• Stay updated on digital health and edge AI innovations.
• Generate patents and publish in top-tier venues.

Skills

PhD in AI/ML/BME/CS

Health foundation models

TensorFlow / PyTorch

Academic publishing

Time-series DL

Biomedical signals (EEG/ECG/PPG)

Distributed computing

PoC / exploratory research

Education

PhD in AI/ML/BME/CS

Tools

Python

C++

AWS

Job description

Samsung Research America seeks a Ph.D.-level Senior AI Research Engineer to advance digital health technologies across wearables, clinical data, and AI models. You will scale algorithms to large real-world datasets and transfer results to production and publications.

You will collaborate with hardware and software teams on health foundation models, time-series data, and multi-modal biosignals, aiming for top-tier publications.