Staff AI Research Engineer
About this role
Samsung Research America needs a dedicated specialist to scale complex physiological algorithms and deep learning models to large, real-world datasets for digital health products. Working within the Digital Health Team, this person will research and develop innovative AI and generative AI solutions for wearables, smartphones, and medical devices that directly impact millions of users globally.
The incoming engineer will focus on creating foundational models for health applications, processing multi-modal biosignals, and deploying algorithms from cloud platforms to edge devices. Responsibilities include building robust pipelines for sensor fusion, collaborating with cross-functional teams like clinical and software engineering, and translating research outcomes into patents and top-tier scientific publications.
Ideal candidates bring a strong academic or industrial research background in machine learning combined with a passion for digital health technologies. Someone who thrives in a collaborative environment, excels at handling multi-terabyte biomedical datasets, and wants to shape the future of consumer health hardware will find a natural home here.
What you will do
- Research and develop novel artificial intelligence and machine learning 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 in real-time and batch settings.
- Scale algorithms to handle large, multi-terabyte datasets from wearables and biomedical sensors on cloud platforms while maintaining algorithmic efficiency.
- Collaborate with hardware and software engineers to integrate artificial intelligence models into wearable platforms for efficient on-device inference.
- Conduct feasibility studies, benchmark feature sets, and refine models for accuracy and scalability across diverse populations.
- Work alongside clinical and regulatory teams to ensure model robustness, validation, and compliance with healthcare standards.
- Generate patents and author scientific research papers for top-tier publications.
What you need
- Hold a PhD in artificial intelligence, machine learning, biomedical engineering, computer science, or a related field, or possess an equivalent combination of education, training, and experience.
- Demonstrate at least three years of experience in data analytics and project work involving health foundation models, wearable computing, or algorithm development.
- Bring three or more years of practical experience using machine learning and deep learning frameworks like TensorFlow and PyTorch alongside Python and C++ programming.
- Maintain a track record of publishing in high-impact artificial intelligence and machine learning venues or top-tier journals.
- Show hands-on experience with deep learning on time-series data and sequence models such as LSTMs, attention mechanisms, and temporal convolutions.
- Possess familiarity with biomedical sensing modalities including EEG, ECG, PPG, and SpO2.
- Demonstrate experience designing and optimizing algorithms to work efficiently with large-scale datasets and distributed computing environments.
Benefits
- Annual bonus eligibility
- Comprehensive compensation package
- Generous benefits
Skills and tech stack
Questions candidates ask
What is the base salary range for this role?
The base pay range for roles at this level is $184,600 to $253,550 USD. Individual rates depend on a number of factors, including the role's function and location as well as the individual's knowledge, skills, experience, education, and training.
Where is the position located?
The position is located at 665 Clyde Avenue, Mountain View, CA, USA, and will be performed in an office setting. The position requires the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment.
What qualifications are required for applicants?
Candidates must have a PhD in AI, Machine Learning, Biomedical Engineering, Computer Science, or a related field or an equivalent combination of education, training, and experience. Additionally, applicants need 3+ years of experience in data analytics and project experiences in areas such as health foundation models pre and post training, wearable computing, and algorithm development.
The application is on the official Samsung Research America careers page.
Apply on company site