Job Specifications
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.
As we expand our Computer Vision division, we are seeking a dedicated Team Lead to take charge of our American Football sub-team—a specialized group focused on extracting structured tracking data from broadcast footage of American football games.
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
As the Computer Vision Team Lead for American Football, you will be responsible for guiding the development of our computer vision-based tracking pipeline for American football. You’ll manage a multidisciplinary team of engineers and researchers, guide implementation, take ownership of the whole pipeline, ensure delivery of high-quality data, and understand customers' needs.
This is a hands-on leadership role that blends team management, technical strategy, and product alignment.
Responsibilities
Team Leadership: Manage, mentor, and grow a team of computer vision engineers and researchers.
Technical Oversight: Guide development of multi-object tracking, player detection, ball tracking, camera calibration, pose estimation, and related tasks.
Quality Assurance: Ensure robustness, accuracy, and scalability of computer vision models across diverse broadcast conditions and competitive levels.
Strategy & Planning: Define technical roadmaps in collaboration with product and engineering leadership.
Collaboration: Work closely with the data pipeline, annotation, MLOps, and product teams to deliver integrated solutions.
Innovation: Stay up to date on academic and industry trends, and drive adoption of state-of-the-art methods when appropriate.
Qualifications
5+ years of experience in computer vision or machine learning, with 1–2+ years in a technical leadership or team management role.
Bachelor's, Master’s, or PhD (preferred) in Computer Science, Engineering, or related field.
Strong experience in video-based object detection, tracking, and scene understanding.
Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
Strong organizational and communication skills.
Excellent communication skills in English and in French.
Bonus Points
Experience in the sports tech industry.
Knowledge of American football rules, gameplay structure, and broadcast formats.
Experience scaling CV pipelines into production environments.
Publications or research in top-tier AI/ML or CV conferences.
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
(optional) 20 minutes call: profile fit
1h technical interview: 20 minutes background and experience, 20 minutes discussion over a practical subject, 20 minutes about the position
technical exercise: coding, problem solving, ...
(optional) HR
About the Company
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 players, 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, a...
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