ML/CV engineers for Image/Video enhancement tasks

З/п не указана
Опыт работы: не требуется
График работы: Полный день
Занятость: Полная занятость
Компания: Samsung Research Russia
Task Description:

Take part in development of image/video enhancement solutions for mobile camera. We are targeting on development of computational or NN-based image processing solutions and implementation in image processing pipeline for improvement of photo/video quality in complicated conditions.

Depending on your competency profile, your responsibility might related with possible areas:

  • Development of image-to-image NNs for image processing scenarios such as demosaicing, denoising, deblurring, details enhancement, low light photo capturing and so on;
  • Working with creation of training datasets
  • Porting on device, including NN optimization, implementation in processing pipeline
In what you will be involved:
  • Development of a novel image processing algorithms and commercialization as part of mobile camera functionality
  • Inter-disciplinary research (machine learning / SW development / Optic)
  • Constant self-growth through learning articles and state-of-the-art solutions, practical implementation of acquired knowledge in commercial product.
  • Development of new technological ideas for mobile devices and other company products
Requirements:

• Master or Bachelor degree in Applied Mathematics or Computer Science

• Experience in computer vision/image processing

• Practical knowledge of Python / C++ (at least basic level)

• At least basic experience with machine learning (tensorflow, pytorch)

• Technical English (reading, writing would be a plus)

Would be a plus:

• Knowledge of C/ C++, experience in software development

• Practical experience with SIMD –based optimization, basic understanding of programming for DSP

• Experience in computer vision libraries (e.g. OpenCV, dlib)

• Knowledge of mathematical analysis, Fourier analysis, linear algebra or computational geometry

• Research skills, including writing papers or patents

• PhD degree in Applied Mathematics or Computer Science

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