2026 Health Applied Engineering Scholar (Spring/Summer)

Company: Samsung Research America Internship
Location: Mountain View
Posted on: April 1, 2026

Job Description:

Lab Summary: Samsung Research America Digital Health Team ( https://www.sra.samsung.com/digital-health/ ) collaborates with top hospitals, healthcare-industry partners, and universities to transform how healthcare is delivered and good health sustained. 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 that detect and trigger alerts for specific health conditions. 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 portfolio of digital health 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 a highly motivated and talented individual to join the Digital Health Team as a Health Applied Scholar / Engineer for a 12-month residency program,. This position is ideal for a Masters, PhD, or postdoctoral researcher/engineer passionate about applying cutting-edge machine learning techniques to health-related challenges and product building. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our ML/AI-driven health initiatives and building MVP products. 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: Design, build, and optimize machine learning models for recommendation systems Implement algorithms such as supervised learning, unsupervised learning, reinforcement learning, and deep learning for health applications Collect, clean, and preprocess large datasets for model training. Develop robust algorithms to extract meaningful insights Debug and optimize models for better accuracy and efficiency using cloud based service (e.g. AWS) Collaborate with multidisciplinary teams to understand business requirements and translate them into technical solutions. Work with SW Engineering team to validate and improve model accuracy Contribute to the development of novel ML algorithms to address complex healthcare challenges Actively engage in team discussions, fostering a collaborative and inclusive work environment Required Skills: Currently pursuing PhD (near completion) or postdoctoral experience in Computer Science, Machine Learning, Data Science, or a related field Strong expertise in machine learning techniques, especially the algorithms related to recommendation systems (e.g. NCF, RNN, CNN, etc. Demonstrated ability to work collaboratively in multidisciplinary teams with strong problem-solving skills, attention to detail, and effective communication Required Technical Skills: Proficiency in Python, R, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Knowledge of data processing tools (e.g., Pandas, NumPy) Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) 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

Keywords: Samsung Research America Internship, Santa Rosa , 2026 Health Applied Engineering Scholar (Spring/Summer), IT / Software / Systems , Mountain View, California