Full-Time

Health AI Scholar

Digital Health

Confirmed live in the last 24 hours

Samsung Research America

Samsung Research America

501-1,000 employees

Develops advanced technology in multiple domains

Hardware

Compensation Overview

$48 - $63Hourly

+ Bonus

Entry

Mountain View, CA, USA

The position will be performed in an office setting.

Category
Healthcare Administration & Support
Medical, Clinical & Veterinary
Required Skills
Redshift
Machine Learning
AWS

You match the following Samsung Research America's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • 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/health-related journals or conferences.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.
Responsibilities
  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.
Samsung Research America

Samsung Research America

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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

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

1988

Benefits

Onsite Fitness Facility

Subsidized Meals

Coffee Barista Bar

Samsung University

Product Discounts

Dog Friendly Campus

Wellness Programs

Activity Clubs

Growth & Insights

Headcount

6 month growth

26%

1 year growth

7%

2 year growth

26%