Computer Vision Engineer

компания "huawei" requirements good mathematical background, track record in the academic achievements, good programming skills in one type of programming languages, python or c, etc. candidate must be a fresh phd big plus, if the candidate has strong experience in image processing background, colorimetry and models of human visual perception big plus, if the candidate has extensive knowledge in machine learning, artificial intelligence, and candidate is familiar with popular frame work such as tensor flow, caffe2 or pytorch. language (optional) english professional certifications from third parties (optional) track record publication in well know conference or journals; track record in well-know competition such as acm icpc, or international mathematics contest (imc) professional knowledge strong mathematical background, strong image processing, human vision or computer vision background responsibilities analysis and development of the psychophysical, mathematical models and algorithms improving the quality of still images and video: - pixel-level image processing algorithms (color correction, automatic white balance, contrast enhancement, denoising, deblur, dynamic range processing, demosaic, super resolution, motion estimation and compensation etc), - semantic level image processing algorithms (segmentation, clustering, content (scene) dependent rendering, feature extraction, personalized image processing based on a user’s preferences). professional skills strong programming skills. additional requirement selt-motivated and fast learner systematic approach to the problem; able to consider the problem from concept-based (model-based) point of view not only an heuristic or intuitive one.