Stage de fin d’études – Ingénieur Recherche Innovation (IA, Python, Tensorflow)

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France, Rennes, EMEA
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If you have ever watched a television show or live event or enjoyed a movie in VOD on your phone or tablet, this experience was likely brought to you through an Ateme solution.

We are Ateme (PARIS: ATEME). We are the video delivery leader helping leading content providers, service providers and pure streaming players boost their engagement, acquire new viewers, and create new sources of revenues. Leveraging our continuous investment in R&D and innovation, we empower our customers to deliver a high quality of experience on any screen.

Delivering video experiences also has an impact on our world. That’s why our multiple award-winning engineering teams design efficient and flexible solutions that cut waste, with no compromise on quality. So that viewers can enjoy their unique experiences – and the world we live in – well into the future.

Thanks to a strong CSR policy that reinforces our mission to “Make the entertainment and video experience captivating, greener, and accessible to everyone,” we strive every day to build a better and more sustainable future for our planet, our people, and our ecosystem.

At Ateme, we value innovation, collaboration, empowerment, agility, and everyone’s contributions. We offer cross-culture enrichment thanks to employees of 30 different nationalities. We consider the globe as our playground and we facilitate mobility internationally, especially in our offices in France, Sao Paulo, Denver, New York and Singapore.

Be part of our team and join our fantastic journey!

Main activities:

Subject: Improvement of end-to-end learned video coding framework

The COVID-19 crisis once more showed how dependent are our societies on digital video broadcast. An industry which is itself highly restricted by the bandwidth for distribution of a tremendous amount of video over different transportation means (Terrestrial, Satellite, Internet, mobile). This increase in video consumption leads to a massive usage of computational resources in datacenters. This has two principal impacts. First, the encoding costs for service providers and broadcasters grow, since they’re often charged on a CPU/Bandwidth-usage basis. Second, the increase in energy consumption and its impact on the environment are more important. More than ever, it is necessary to improve video compression efficiency.

In the past few years, end-to-end learned image and video coding methods have shown promising results, making them compete with traditional video codecs such as High Efficiency Video Coding (HEVC) or Versatile Video Coding (VVC), in terms of compression efficiency. In this context, we implemented a software framework for end-to-end learned video coding adapted to practical application. The goal of this internship is to improve this framework in order to make it modular, configurable and generalizable to several end-to-end learned codecs.


The position is based in Rennes (35), teleworking possible


1500€ gross + Ticket restaurant + Reimbursement of transportation fees + possibility of recruitment (CDI) or CIFRE thesis

This internship will consist of following phases:

  1. State-of-the art of end-to-end learned image and video codecs.
  2. Introduction, understanding, and operating with the existing version of the framework,
  3. Improve the implementation of the framework by making the software modular and configurable.
  4. Generalize the framework to make it compatible with other end-to-end learned codecs

In all above phases, candidate will constantly interact with his/her colleagues to benefit from their knowledge and experience. Noteworthy of precising that, based on the profile of candidate, the internship orientation might be adjusted.

About the candidate:

  • Last-year student of engineering school program or master’s in computer science or electrical engineering.
  • Excellent python programming skills.
  • Hand-on experience with neural networks and libraries such as TensorFlow, PyTorch etc.
  • Ability to read and understand academic papers in the domain of image and video processing.
  • Being familiar with video compression algorithms is a plus.
  • Fluent in English.

Equal Employment Opportunity:

Ateme SA and all its subsidiaries is an Equal Opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.