Computer Vision Scientist
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 22, 2026.
Join SkillCorner, a global leader in sports data analytics. As a Computer Vision Scientist, you will design, train, and optimize deep learning models for detection, tracking, re-identification, and recognition. You will own key components of our tracking pipeline and make technical decisions with real downstream impact. This role offers the opportunity to work on exciting problems at the intersection of AI and sports, with a passionate team based in Paris.
Missions
- Concevoir, former et optimiser des modèles d'apprentissage profond pour la détection, le suivi, la ré-identification et la reconnaissance.
- Posséder des composants clés de notre pipeline de suivi, des données et de la formation à l'évaluation et au déploiement.
- Prendre des décisions techniques et défendre vos choix, en vous appuyant sur une solide compréhension de la théorie derrière les modèles que vous construisez.
Profil recherché
* A graduate degree or PhD in engineering, computer science, mathematics or a related field, with a strong background in mathematics* Around 3 years of hands-on experience in computer vision with deep learning, in a production environment (exceptional recent graduates are welcome too)
* Real experience in computer vision, not only deep learning in general
* Experience training your own models and a deep understanding of how they work, ideally having modified existing architectures rather than only reusing pre-trained models
* Proven experience with detection, tracking or recognition pipelines, not only research prototypes
* Strong Python for ML: clean, tested, deployable code, with PyTorch or TensorFlow and OpenCV
* The ability to drive technical decisions independently and explain your choices
* Rigor, concise communication, curiosity, autonomy and creativity
* A genuine interest in sport
* Excellent communication skills in English
**Nice to have**
* French: a strong plus, as the team is French-speaking
* Experience with video, object detection and multi-object tracking
* Experience with graph neural networks (GNNs)
* Experience with camera calibration, homography estimation or 3D geometry
* Hands-on experience with AWS workflows and Docker
* Experience running ML pipelines at scale in the cloud (GPU inference, batch processing)
* Publications at top computer vision or ML venues (CVPR, ICCV, ECCV, NeurIPS)
### Why join us
* Real impact: your work ships to production and is used by more than 350 professional teams worldwide
* Hard, exciting problems: state-of-the-art computer vision on real broadcast video, at scale
* Ownership: own key models and shape how our tracking technology evolves
* A great team: passionate people at the crossroads of AI and sport, with a tech team in the heart of Paris