Stage - Recherche Innovation Video (C++, IA, TensorFlow, PyTorch, algorithms)
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: Exploring video processing techniques, and assessing how they can be replaced or complemented by AI
Nowadays, our societies are highly dependent 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). As video consumption increases, consumers are also expecting higher quality of experience. To achieve an homogeneous high-quality experience, video processing can be used to convert lower quality contents to current standards. Resolution, framerate, dynamic range, colors can all be enhanced thanks to signal processing or AI based tools.
The goal of this internship is to explore so-called up-conversions tools. The intern will implement and test existing techniques and then adapt them to the Ateme specific constraints. The considered tools will be evaluated based on both quality and speed criteria.
This internship will consist of following phases:
- Introduction to video processing.
- Exploration of the possible strategies and experimentation.
- Design of a custom solution.
- Analysis and reporting.
In all above phases, the candidate will constantly interact with his/her colleagues to benefit from their knowledge and experience. Noteworthy of precising that, based on the profile of the 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.
Location: The position is based in Rennes (35)
Benefits: 1500€ gross + Ticket restaurant + Reimbursement of transportation fees + possibility of recruitment (CDI) or CIFRE thesis
Contacts: jobs@ateme.com
To find out more about our company, do not hesitate to visit our website: www.ateme.com
- Département
- Research & Innovation
- Poste
- Recherche & Innovation
- Localisations
- Rennes
- Type de contrat
- Stage

Rennes
À propos de Ateme
Leader mondial des solutions de compression et de diffusion vidéo, Ateme aide les fournisseurs de contenu, les fournisseurs de services et les plateformes de streaming de premier plan à stimuler l’engagement de leurs téléspectateurs et à réduire le taux de désabonnement.
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