At SkillCorner, we’re transforming the way sports are analyzed and understood. From football (soccer) to basketball and American football, our mission is to empower teams and organizations with advanced, data-driven insights to make smarter decisions and gain a competitive edge.

Using broadcast (TV) video feeds from games, our AI-powered platform analyzes every aspect of play, extracting detailed performance data for every player on the field or court. We take pride in being a global leader at the intersection of AI and sports, helping teams unlock actionable insights to optimize strategies, enhance performance, and shape the future of the game.

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.

We develop sophisticated algorithms that handle a variety of complex challenges, including player and ball detection, team clustering, and player recognition. The extracted data is then precisely mapped to 3D positions on the pitch using camera calibration. Tracking players and the ball in dynamic and changing environments is a major focus, ensuring accurate, reliable, and actionable data.

Job description

We are currently recruiting a Junior Computer Vision Scientist to work in the 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.

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.

Why Join Us?

• Be part of a rapidly growing startup at the cutting edge of AI and sports analytics where innovation, creativity, and teamwork drive success.

• Work on innovative R&D projects that quickly move into production.

• Collaborate in a dynamic and diverse team of junior talents and senior experts, including PhDs.

• Receive a competitive salary that reflects your skills and expertise.

• Enjoy a hybrid work setup with offices in Bastille, Paris and two days of home-office per week.

• Benefit from perks like lunch tickets (ticket-restaurants) and Gymlib subscription

• 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.

• (optionnal) 15-20 minutes introduction call

• interview - open discussion around knowledge and experiences, Q&A session on a partical scenario

• interview - technical homework

• (optionnal) - personnal interview : motivations, expectations, conditions