SkillCorner collects sports data 100% automatically from a single camera feed. The company, now a global leader in its field of expertise, develops Computer Vision and Machine Learning algorithms that can detect all the moving objects (each player, the ball and the referee) in the image, locate them on the pitch, track them frame by frame, and recognize them. From this raw tracking data, SkillCorner produces Performance indicators, Game Intelligence metrics, and Visualizations that are used by clubs, national federations, and player agencies.

SkillCorner covers more than 150 competitions (both Women’s and Men’s), holds over 100 billion data points on more than 100 000 professional players. Trusted by more than 250 football, basketball and American Football teams worldwide, redefining their performance analysis, scouting, and recruitment workflows

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, such as tracking fast-moving players while handling occlusions. Your work will directly contribute to solving these problems.

Role

We are currently recruiting a Junior Computer Vision Scientist to join the American Football Computer Vision team. In this role, you will design, implement, and optimize cutting-edge algorithms alongside a more experienced team member. As a junior team member, you are expected to have first experience in deep learning applied to Computer Vision (internship, permanent contract, personal project…), with a demonstrated interest in the underlying mechanisms of neural networks and prior hands-on experience in training them. Your rigor, curiosity and eagerness to grow will be strong assets for this position.

You will work with tools like PyTorch/TensorFlow, OpenCV, and deep learning architectures (CNNs, Transformers, etc.) to develop detection, tracking, and recognition algorithms.

This position offers a rare balance between advanced R&D and real-world application. You’ll have the freedom to explore and develop innovative solutions, knowing that your work will quickly transition from research to production, directly impacting sports teams and organizations worldwide.

Preferred experience

• Graduate degree/PhD in engineering, computer science, mathematics or related field.

• Comfortable with Python usage in machine learning, deep learning and/or computer vision.

• A first experience in computer vision, specifically involving deep learning, data manipulation and visualization.

• Excellent communication skills in English and in French

• Interest in solving real-world problems: you love connecting and tweaking things to solve hard problems.

• Great interpersonal skills and a strong team-oriented mindset.

• Knowledge of or interest in American football is a definite plus
  
  

• Phone Interview : 20/30min

• Technical interview : 1h

• Technical Test

• Culture fit interview : 1h