Deep Learning R&D Engineer (Computer Vision, Neural Networks Compression)
Nizhni, RU
2 дня назад

Job Description

You will join the Neural Networks Compression Tools team in IOTG Computer Vision. As a Deep Learning R&D Engineer, you will be challenged to build Computer Vision (CV) based products / solutions.

You will create and implement new or use existing traditional and deep-learning CV algorithms to solve applied problems in various domains.

Your responsibilities will include, but not be limited to :

  • Interact with users to define requirements for CV based product / solutions.
  • Study current leading approaches and algorithms, analyze the latest industrial trends and research papers.
  • Generate novel ideas on computer vision algorithms, implement and evaluate them.
  • In either research environments or specific product environments, utilize current programming methodologies to translate CV algorithms into software.
  • Complete programming, debugging, testing, validation, documentation and / or deployment of the solution / products.
  • Qualifications

  • Master's degree in Math, Computer Science or Physics
  • Excellent knowledge of Computer Science and Mathematics
  • Knowledge of Machine Learning and Deep Learning algorithms
  • At least 3 years of software development
  • Good programming skills, knowledge of Python and C / C++ as well as understanding of modern programming paradigms and patterns
  • The following is desired :

  • Research background in CV or a similar Computer Science discipline
  • Experience in productizing algorithms and / or software optimization
  • Spoken and written English : upper-intermediate level or advanced
  • Сообщите об этом задании

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Мой Email
    Нажимая «Продолжить», я даю согласие neuvoo на обработку моих данных и отправку уведомлений по электронной почте, как описано в Политике конфиденциальности neuvoo. В любое время я могу отозвать свое согласие или отказаться от подписки.
    Форма заявки