Les missions du poste
Descriptif du poste
Team Description
The Computer Vision team lies at the heart of our mission to deliver precise and high-quality tracking data for sports. We leverage advanced Deep Learning and state-of-the-art Computer Vision techniques to extract the location, movements, and identity of every player and the ball directly from broadcast video.
American football presents unique computer vision challenges - tracking fast-moving players, handling occlusions, managing complex formations. Your work will directly contribute to pushing these solutions further, at scale and in production.
Role
We are looking for a Computer Vision Scientist to join the American Football Computer Vision team. In this role, you will own and lead the design, implementation, and optimization of cutting-edge algorithms, both autonomously and in collaboration with the team. You are expected to bring solid production experience in deep learning applied to Computer Vision, a strong understanding of the theoretical foundations of the models you build, and the ability to make architectural decisions with real downstream impact.
You will work with tools like PyTorch/TensorFlow, OpenCV, and deep learning architectures (CNNs, Transformers, GNNs, etc.) to develop and improve detection, tracking, and recognition algorithms. Beyond implementation, you will contribute to technical roadmap discussions and help raise the bar on engineering and research standards within the team.
This role sits at the intersection of applied research and production - your work will transition from experimentation to live deployment, directly impacting sports teams and organizations worldwide.
Le profil recherché
Profil recherché
Preferred experience
Graduate degree or PhD in engineering, computer science, mathematics or related field
3+ years of hands-on experience in computer vision with deep learning, in a production environment
Strong command of Python for ML/DL - clean, testable, deployable code
Proven experience with detection, tracking, or recognition pipelines (not just research prototypes)
Ability to independently drive technical decisions and defend your choices
Excellent communication skills in English and in French
Knowledge of or genuine interest in American football is a definite plus
Process de recrutement
Phone Interview : 20/30 min
Technical Interview : 1h
Technical Test
Culture fit interview : 1h
Informations complémentaires
- Type de contrat : CDI
- Lieu : Paris
- Télétravail ponctuel autorisé
Bienvenue chez SkillCorner
À propos
SkillCorner collecte de la data sportive de manière 100% automatique à partir d'une simple vidéo de match de sport professionnel.
La société, aujourd'hui leader mondial dans son domaine d'expertise, développe des algorithmes de Computer Vision et de Machine Learning qui permettent de détecter tous les objets mouvants (chaque joueur, le ballon et l'arbitre) sur l'image, de les localiser sur le terrain, de les suivre image après image et de les reconnaître. A partir de ces données brutes, SkillCorner produit des indicateurs de performance, d'intelligence de jeu et des visualisations qui sont utilisés par les clubs, les fédérations nationales et les agences de joueurs.
SkillCorner couvre plus de 150 compétitions (féminines et masculines) et possède plus de 100 milliards de points de données sur plus de 100 000 joueurs professionnels. Plus de 250 équipes de football, de basketball et de football américain à travers le monde utilisent quotidiennement sa donnée à des fins de recrutement, d'analyses de jeu et de l'adversaire.
Publiée le 11/06/2026 - Réf : e06ba3ff8b2e47d880dfc55a70212248
