Lab Summary:

Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services.  We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory. Millions of Samsung users’ lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience.  Join us! 

Position Summary:

Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior AI Research Engineer with solid ML/AI technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development. You need to have a strong track-record of success in academic and/or industrial settings. You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid data analytics skills and project experiences in areas such as mobile health systems and wearable computing.

You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.

Position Responsibilities:

• Research and develop novel AI/ML algorithms for physiological signal processing, sensor fusion, and digital biomarkers in wearable health applications.
• Prototype and validate proof-of-concept (PoC) solutions by exploring new types of sensing technologies to improve health monitoring and diagnostics.
• Design and implement deep learning and statistical models to analyze multi-modal biosignals (e.g., EEG, ECG, PPG, motion data) in real-time.
• Collaborate with hardware and software engineers to integrate AI models into wearable platforms, ensuring efficient on-device inference.
• Conduct feasibility studies, benchmark AI-driven features, and refine models for scalability, accuracy, and power efficiency.
• Stay up-to-date with the latest advancements in digital health, computational neuroscience, and edge AI to drive innovation in wearables.
• Work with clinical and regulatory teams to ensure model robustness, validation, and compliance with healthcare standards.
• Generate patents and scientific research papers for top-tier publications.

 Required Skills:

• 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 ML/DL frameworks (TensorFlow, PyTorch) and programming languages (Python, C++, or MATLAB).
• Experience with time-series analysis, signal processing, and sensor fusion for wearable or biomedical applications.
• Proven track record in developing AI models for low-power, embedded, or edge AI systems.
• Familiarity with biomedical sensing modalities (EEG, ECG, PPG, SpO2, etc.) and data-driven health insights.
• Experience in developing PoCs and exploratory research projects in emerging sensing technologies.

Special Attributes 

• Experience with self-supervised learning, transformer models, and computer vision models for biosignals.
• Understanding of clinical workflows and healthcare data privacy considerations (HIPAA, FDA, MDR, etc.).
• Knowledge of wearable hardware constraints, power optimization, and real-time processing.

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and  provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency