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2024 Summer Intern, Machine Learning, Digital Health (*6 months*)

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Samsung Research America (SRA)

Mar 31

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • Mountain View

Requirements

  • Bachelor or M.Sc. or PhD student in Computer Science, Computer Engineering, Math, Physics. Other degrees may be considered if the candidate possesses a strong machine learning background
  • Experience designing and developing ML/AI solutions, including model training process, in the domain of image recognition
  • Technical proficiency in Python and common deep learning frameworks (e.g Tensorflow, PyTorch)
  • Experience with Machine Learning projects with proven results
  • Hands-on experience with Github, Confluence, Jira
  • Excellent communication and interpersonal skills. A strong collaborator who can work across multi-disciplinary teams
  • Special Attributes:
  • Programming skills in mobile device (Android/Kotlin/Java) is a plus

Responsibilities

  • Apply and develop machine learning models, tools and techniques to our Health products.
  • Work with a team in the development of machine learning solutions.
  • Perform data collections, run simulations to create, curate and label machine learning datasets.
  • Develop and deliver validation test application for visualization, demonstration and presentations.
  • Remain current on the latest ML technologies and technique.
  • Collaborate with project team on various tasks related to ML.

Samsung Research America (SRA)

Technology
Industry
1001-5000
Employees

Mission & Purpose

Founded in October 1988, Samsung Research America (SRA) builds upon Samsung’s 40-year history in the Bay Area. Headquartered in Silicon Valley, with offices across the United States and Canada, SRA is engaged in researching emerging technology to create new businesses and developing core technology to enhance the competitiveness of Samsung products. We also play a key role in providing the infrastructure to support Samsung’s open innovation and university collaboration activities.