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Samsung Research America

Develops advanced technology in multiple domains

Health AI Scholar Intern - Digital Health Algorithms Team

AI ResearchConfirmed live in the last 24 hours
Internship · Winter 2027Mountain View, CA, USA

About the Job

Requirements

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques, including self-supervised learning, transformer architectures, convolutional neural networks, and recurrent neural networks.
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services, including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI- or health-related journals or conferences.
  • Programming experience using languages such as Python, R, Android, C/C++, or Java.
  • Legal authorization to work in the United States.

Responsibilities

  • Design, implement, and optimize advanced AI models, including self-supervised learning models, for health applications.
  • Work with large-scale time-series and tabular datasets to develop robust algorithms and extract meaningful insights.
  • Build agentic frameworks to accelerate the discovery of new health biomarkers.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services to ensure scalability and efficiency.
  • Contribute to developing novel AI methodologies to address complex healthcare challenges.

Desired Qualifications

  • Experience with time-series datasets in health-related domains is preferred.

About the Company

Samsung Research America

Develops advanced technology in multiple domains

Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Mountain View, California
Founded
1988

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