Engineer R&D Deep Learning (Nanterre, FR)


SURVISION, world leader in vehicle identification video sensors, based in the Paris Region and in the United States, is looking for a deep learning R & D Engineer.

In a small, young and dynamic team, you design innovative algorithms in the field of video analysis and deep learning applied to the detection, tracking and identification of vehicles.

Especially :

  • You contribute to defining the architecture and the developments of the new concepts by taking into account the technical constraints related to the platforms used in our products.
  • You study the models of detection of objects most adapted to the studied problems (CNN, auto-encoders, RNN, LSTM, Q-learning, etc.).
  • You implement these innovative approaches by developing demonstrators.
  • You then participate in the integration and optimization phases of these architectures to achieve real-time performance on embedded applications (memory and power constraints).
  • You also contribute to the construction of acquisition and learning data acquisition architectures.


  • Graduate (e) of a large engineering school or holder of a PhD thesis, you justify a first experience in the field of machine learning applied to image processing or video.
  • You have skills in image and video processing algorithms, Deep Learning concepts and architectures and C / C ++, Python programming ... Knowledge of a framework such as TensorFlow or PyTorch is a prerequisite.
  • You may have skills in image sensors.
  • You are recognized for your team spirit, initiative and curiosity.
  • You have a level in English allowing you to easily exchange daily in a professional environment.

Please note: the original job description is in French

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