Fall Intern: Digital Health AI/ML Algorithms

Samsung Research America (SRA); Mountain View (CA); On-site; USD 61,000 - 87,000; Full time

Job summary

Samsung Research America is seeking Ph.D. candidates with strong ML/AI background and digital health research experience to develop cutting-edge algorithms using multi-modal physiological data from wearables and sensors.

You will leverage smartphones, wearables, and hearables to advance digital health services benefiting clinicians, patients, and caregivers, with access to large healthcare datasets and scalable cloud infrastructure.

Qualifications

• Pursuing a PhD in computer science, electrical engineering, biomedical engineering or related fields.
• Strong prototyping skills in AI model development, data science and machine learning.
• Experience with physiological signal processing and large-scale time-series data in digital health.
• Proficiency in developing and finetuning AI/ML foundation models.
• Programming experience in Python, R, C/C++, Java, Android.
• Experience with cloud platforms like AWS, SageMaker, Google Cloud, SQL; collaboration using GitHub.
• Strong communication, presentation, and team collaboration.

Responsibilities

• Collaborate with an experienced digital health algorithm research team to develop novel algorithms for 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.

Skills

AI model development

Time-series analytics

Physiological signal processing

Multimodal data experience

Education

PhD candidate in CS/EE/Biomedical Eng

Tools

AWS SageMaker Studio

GCP

SQL

Python

R

C/C++

Java

Job description

Samsung Research America is seeking Ph.D. candidates with strong ML/AI background and digital health research experience to develop cutting-edge algorithms using multi-modal physiological data from wearables and sensors.

You will leverage smartphones, wearables, and hearables to advance digital health services benefiting clinicians, patients, and caregivers, with access to large healthcare datasets and scalable cloud infrastructure.