Media Algorithm Engineer

Вакансия № 22793387 от компании HUAWEI на Электронной Службе Занятости Населения Москвы.

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Опыт работы: не важно.

Зарплата: по результату собеседования.

Примерное место работы: Россия, Москва.

☑ Актуальность объявления:

Это объявление № 22793387 добавлено в базу данных: Четверг, 30 января 2025 года.

Дата его обновления на этом интернет-ресурсе: Воскресенье, 16 марта 2025 года.

☑ Статистика предложения работы № 22793387:

Прочитано соискателями - 328 раз(а);
Отправлено откликов - 0 раз(а);

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About the Company

Huawei Technologies Co. Ltd. is a leading global ICT solution provider. In Q2 2018, Huawei's smartphone market share was ranked as the second largest in the world. As part of Huawei Consumer Business Group, Huawei Mobile Service delivers high-quality digital content & mobile services to consumers. Our products consist of AppGallery, GameCenter, Themes, Video, Music, Reader, HiCloud, and Browser, etc. Huawei Mobile Service serves over 400 million customers in 170 countries.

Responsibilities:

Gain insights into industry-leading technologies and development trends in the media field, take customer application scenarios as assumptions, and focus on mathematics, classic algorithms and AI technologies required by media information flows to make continuous innovations and breakthroughs.
Engage in the media field, including researching, innovation, and engineering implementation of image, video, audio, and ARVR algorithms, to achieve Huawei's leading technical competitiveness in the media field.
Develop standards in the media codec (video, point cloud, audio, etc.) field and build leadership in standards and industry development.
Build ultimate experience for end users based on basic media applications, such as mobile phone photography, video, ARVR, and voice enhancement.

Requirements:

Master degree or above in artificial intelligence, computer science, computer photography, optics, electronics, signal and information processing, pattern recognition, biomedical engineering, automation, mathematics, etc.
Have theoretical background and R&D experience in image/audio/video/3D data processing, deep learning, object recognition, computer graphics, SLAM, 3D reconstruction, scene recognition, intelligent voice, multimedia information search, optical design, and video protocol standard (HEVC/H264/VPx/VC1/MPEGx).
Have solid programming capabilities, and be proficient in programming languages such as C/C++ and Python/Matlab. Diploma PHD

Location: