Fall Intern - Digital Health AI & Wearables

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

Job summary

Samsung Research America is seeking a Fall Intern in Digital Health Algorithms with a PhD candidate background in AI/ML. You will work on wearable, mobile, and cloud-based health data to develop and refine algorithms that support clinicians and patients.

The role emphasizes multi-disciplinary collaboration, innovative AI methods, and scalable solutions using AWS. Ideal candidates have strong coding and signal processing experience, familiarity with foundation models, and a track record of

Qualifications

• Pursuing PhD in computer science, electrical engineering, biomedical engineering or related areas.
• Strong prototyping skills in AI model development and data science.
• Experience with physiological signal processing and large-scale time-series analytics.
• Knowledge of AI foundation models and fine-tuning approaches.
• Proficiency in Python, R, C/C++, Java; familiarity with Android is a plus.
• Experience with AWS, SageMaker Studio, GCP, SQL; collaboration via GitHub.
• Good communication and teamwork abilities; strong publication record.

Responsibilities

• Collaborate with the digital health algorithm team on novel AI methods.
• Design, implement, and optimize advanced AI models for health applications.
• Work with large-scale time-series data and train ML/DL models on AWS.
• Contribute to development of AI methodologies addressing healthcare challenges.

Skills

PhD candidate

AI model development

Signal processing

Foundation models

Programming: Python

Cloud infra

GitHub collaboration

Communication

Publications

Education

PhD in CS/EE/Biomed

Tools

AWS

SageMaker Studio

GCP

SQL

GitHub

Job description

Samsung Research America is seeking a Fall Intern in Digital Health Algorithms with a PhD candidate background in AI/ML. You will work on wearable, mobile, and cloud-based health data to develop and refine algorithms that support clinicians and patients.

The role emphasizes multi-disciplinary collaboration, innovative AI methods, and scalable solutions using AWS. Ideal candidates have strong coding and signal processing experience, familiarity with foundation models, and a track record of