Staff AI Research Engineer in Digital Health and Wearable Biosignals at Samsung Research America, Mountain View
Job Description
This AI research engineer job in digital health is at Samsung Research America’s Digital Health Lab in Mountain View, California. You will build AI models for body signals from wearables, such as ECG, PPG and EEG.
At a glance
- Position: Staff AI Research Engineer, Digital Health (requisition 402929), full time
- Where: 665 Clyde Avenue, Mountain View, California, USA; office based, no remote option
- Lab: Digital Health Lab
- Pay: Base pay range US$184,600 to US$253,550 a year, plus an annual bonus
- Posted: 2 October 2026
- Apply: open until filled (re-checked 14 November 2026)
About the digital health AI research
- Build AI/ML methods and foundation models for body signals, sensor fusion and digital biomarkers from wearables
- Use self-supervised learning and transformers on signals such as EEG, ECG, PPG and motion
- Work with multi-terabyte datasets on cloud platforms (AWS, GCP or Azure)
- Bring models onto wearable devices with hardware and software teams
- Run feasibility studies and benchmarks, and help clinical and regulatory teams validate results
- Produce patents and papers in top venues
The posting’s body text describes the role as a “Ph.D.-level Senior AI Research Engineer”. Its title says Staff. We use the posted title.
Why this role matters
Watches and rings now record heart and brain signals all day. Turning that data into reliable health measures is hard, and the results need clinical checks. Work here can reach many users through Samsung’s health apps.
What Samsung Research America is looking for
- A PhD in AI, machine learning, biomedical engineering, computer science or a related field, or equivalent
- At least 3 years of data analysis and project work on health foundation models, wearable computing or health algorithms
- At least 3 years with TensorFlow or PyTorch, Python and C++
- Papers at ICML, ICLR, NeurIPS or similar, or in top journals
- Deep learning for time series, signal processing and sensor fusion
- Knowledge of EEG, ECG, PPG and SpO2 signals, and of large-scale distributed computing
Nice to have
- Knowledge of clinical workflows and health-data rules such as HIPAA, FDA and MDR
- Knowledge of wearable hardware and its power limits
- On-device ML and model compression
- Training models at cloud scale
Pay and location
The posting gives a base pay range of US$184,600 to US$253,550 a year, with an annual bonus. The role is office based in Mountain View, with no remote option. The posting does not mention visa support.
How to apply
Apply through the official Samsung Research America job posting. Samsung Research America’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 November 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Samsung Research America
Official advertisement: job-boards.greenhouse.io
How to prepare for this application
- Prepare one project on physiological signals: the data, the model, how you validated it and what went wrong
- Revise self-supervised learning for time series, such as contrastive and masked-signal pre-training
- Know common artefacts in PPG and ECG, such as motion noise, and how to handle them
- Read about how health algorithms get FDA clearance, so you can talk with clinical and regulatory teams
- Be ready to discuss making a model small enough to run on a watch
About Samsung Research America
Samsung Research America is the US research arm of Samsung Electronics, based in Mountain View, California. Samsung Electronics was founded in 1969 and is headquartered in Suwon, South Korea.
