Video Intelligence Researcher

Вакансия № 22779210 от компании HUAWEI на Электронной Службе Занятости Населения Москвы.

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☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: по результату собеседования.

Примерное место работы: Россия, Москва.

☑ Актуальность объявления:

Это объявление № 22779210 добавлено в базу данных: Понедельник, 10 марта 2025 года.

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

☑ Статистика предложения работы № 22779210:

Прочитано соискателями - 95 раз(а);
Отправлено откликов - 0 раз(а);

☑ Репутация компании "HUAWEI":

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About the Group

Huawei, the leading Telecommunications and IT solution provider announced its Big Video vision, our Russian Research Center Video Intelligence Group will carry out pioneering research which will lead and drive the next generation industrial standards and products. Joining force with top universities and industry leading partners, Huawei’s goal is to revolutionize both the consumer and enterprise markets.

About the Positions

We are looking for senior technical staff and consultant to join our Video Intelligence team. The team will apply state-of-the-art machine learning based research to computer vision and video data processing, especially in the context of multi-modality fusion, and to any part of self-driving vehicle (SDV) pipeline, especially in the context of perception, prediction and planning. We also have research on creating optimized neural algorithms and architectures for Huawei Ascend platform both for training and inference. In addition, solving the industry problems such as anomaly detection is also our interest. Working with our highly talented team, together we will help Huawei to improve its current video surveillance product portfolio and drive the next generation business opportunity and consumer experience.

Key Responsibilities include:

Analyze industry/academia trends and identify the competitiveness of the Video intelligence technology market and Huawei’s market offerings
Become a leading researcher in the R&D team, define the roadmap of research targets, bridge the gap between research achievements and industrial products
Be responsible for research projects within the Video Intelligence portfolio, completing core technology construction in the Video Intelligence scope
Build cooperation with European universities, research institutes and industrial partners
Represent Huawei within the broader industry, attending and participating at international meetings and conferences

Skills & Experience – Required

Strong research background and relative industrial experience

Have experience in Video data extraction and analytics technologies. Object detection and tracking, classification, Data Augmentation, abnormal event detection, multi-modality fusion is preferred
Experience in any module of SDV stack is highly preferred (perception, prediction, planning)
Be familiar with deep learning architecture and open source frameworks. Domain adaptation, transfer learning, zero, one or few-shot learning, network compression
Experience in fast and efficient hardware accelerated approximate nearest neighbor system for data retrieval project
Experience in the methods of acceleration of Neural Networks both for training (e.g. improved optimization algorithms) and inference (e.g. pruning, tensor decompositions) on the hardware
Masters or higher degree in computer vision, image processing, deep learning/machine learning or significant relevant industry experience
Strong mathematical education in probability theory, linear algebra, statistics and relevant Math fields
Good knowledge of python and mathematical libraries. Knowledge of C++ is a big plus
PhD in a relevant discipline is preferred
3+ years of industry experience in (one or multiple areas) Computer Vision, Machine Learning/Deep Learning, and Data Science as well as experience in applying academic studies to industrial applications is preferred
3+ years of experience in Video data analytics and processing is preferred

Location

This is a full-time position at our research centre based in Moscow, Russian. Business trips may be required as necessary to support strategy engagements.