Senior Computer Vision Scientist – Basketball Tracking

Join SkillCorner, a global leader in sports data analytics. As a Senior Computer Vision Scientist, you will work on cutting-edge deep learning models for basketball tracking. You will design architectures, build training and evaluation pipelines, and push performance to production-grade quality. Your work will have a real impact on professional basketball teams worldwide.

• Conception, formation et optimisation de modèles d'apprentissage profond pour la détection, le suivi, la ré-identification, la reconnaissance et l'estimation de pose.
• Responsabilité des composants clés du pipeline de suivi du basketball de bout en bout, de la collecte de données et de la formation à l'évaluation et au déploiement.
• Intégration d'algorithmes de recherche dans notre pipeline de production AWS et maintien de la performance stable lors de la mise en ligne de nouveaux modèles.

* A graduate degree or PhD in engineering, computer science, mathematics or a related field

* 4+ years of hands-on experience in computer vision with deep learning, including production systems

* Strong deep learning expertise in areas such as people tracking, re-identification, people, face and object recognition, camera calibration, body pose estimation and action recognition

* Proven experience designing, training and shipping detection, tracking or recognition models to production, not only research prototypes

* Experience with data-centric work: dataset curation, annotation strategies and handling noisy labels

* A strong grasp of the theory behind modern architectures (CNNs, Transformers, GNNs), and the judgment to choose between approaches

* Experience assembling several algorithms into one reliable system

* The ability to drive technical decisions independently and explain trade-offs

* Strong Python for ML: clean, tested, deployable code, with PyTorch or TensorFlow and OpenCV

* Hands-on experience with AWS workflows and Docker

* Excellent communication skills in English

**Nice to have**

* French: a strong plus, as the team is French-speaking

* Experience with multi-object tracking and re-identification in crowded scenes, or with sports or broadcast video

* Experience with camera calibration, homography estimation or 3D geometry

* Experience running ML pipelines at scale in the cloud (GPU inference, batch processing)

* Notions of MLOps and model optimization

* Experience using LLM-based agents to speed up development, debugging or support

* Publications at top computer vision or ML venues (CVPR, ICCV, ECCV, NeurIPS)

* Knowledge of, or a genuine interest in, basketball

### 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 end to end 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