2026 Intern, Machine Learning Engineer (Summer)
About The Position
Digital Health Lab is the U.S. branch of the Samsung Global Health Services business. We have product management, researcher, UX, user research, data scientists, and software engineering co-located to create the future of wellness and clinical care using user-centric design thinking and agile designer-developer workflow. This is an exciting opportunity for a talented and hard-working Machine Learning Engineer who is interested in taking concepts through various stages of prototyping with increasing levels of fidelity, making our experiences real and exposing them to users to make them great.
Requirements
- Master’s or PhD (near completion) 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)
- 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)
- Demonstrated ability to work collaboratively in multidisciplinary teams with strong problem-solving skills, attention to detail, and effective communication
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
