2026 Intern, Computer Vision & ML (Summer)

Samsung Research America InternshipMountain View, CA
4hOnsite

About The Position

The Computer Vision & Machine Learning Intern will contribute to research and development of on-device image transformation, image denoising, image quality enhancement, and machine learning technologies across Samsung platforms. This role bridges research and product development, emphasizing the creation of innovative, efficient, and production-ready solutions for AR/VR systems. The position places particular emphasis on image transformation, denoising, and visual quality enhancement using computer vision and machine learning algorithms optimized for mobile and embedded devices.

Requirements

  • Currently pursuing a Master’s or PhD in Computer Vision, Machine Learning, or a related field.
  • Hands-on experience with image denoising and image quality enhancement techniques.
  • Experience with GPU processing on Android platforms.
  • Strong understanding of deep learning algorithms, including model tuning and optimization using GPU libraries.
  • Familiarity with key CV/ML areas such as: Image visual quality and readability enhancement Camera tracking and calibration Camera geometry and image transformation Machine learning modeling and optimization
  • Solid foundation in software engineering principles and tools.
  • Proficiency in C/C++ and at least one prototyping language such as Python.
  • Strong collaboration, communication, self-motivation, and learning skills.

Nice To Haves

  • Experience with AR glasses, AR/VR headsets, or XR development platforms.
  • Exposure to real-time or resource-constrained ML systems on mobile or embedded hardware.

Responsibilities

  • Research and develop computer vision and machine learning algorithms for image transformation, denoising, and quality enhancement.
  • Optimize and deploy GPU-accelerated ML pipelines on mobile and Android platforms.
  • Prototype, evaluate, and refine algorithms for both research exploration and product integration.
  • Collaborate closely with researchers and engineers to transition concepts into reliable, production-level solutions.
  • Contribute to XR-related technologies including AR/VR imaging and perception pipelines.
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