2026 Fall Intern, Digital Health Algorithms

Samsung Research America · San Francisco

Otherposted 4w ago

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare’s toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for Ph.D. candidates with solid ML/AI/GenAI technology background and digital health-related research project experiences in multi-modal physiological health algorithm development, large-scale wearable data analytics, and physiological signal processing. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

You will work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions.
Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
Work with large-scale time-series datasets to train and fine-tune ML/DL models using AWS AI services, ensuring scalability and efficiency.
Contribute to the development of novel AI methodologies to address complex healthcare challenges.

Required Skills:

Currently pursuing PhD degree in computer science, electrical engineering, biomedical engineering or related areas
Solid coding skills with prototyping experience in AI model development, data science, and machine learning
Experience in physiological signal processing, large-scale time-series data analytics in digital health domain
Strong knowledge and experience in developing AI/ML foundation models and their finetuning approaches
Programming using languages such as Python, R, C/C++, Java, Android
Experience with cloud infra services like AWS, SageMaker Studio, GCP, SQL, and collaboration tools like github
Good communication/presentation skills and teamwork/collaboration spirit
Publication in top-tier journals and conferences

This position is open to candidates who are legally authorized to work in the United States.

Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, 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. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Hourly Pay Rate Range

$44—$63 USD

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