Stagiaire - Prediction - Football

Stage(5 à 6 mois)
Paris
Salaire : 1,2K € par mois
Télétravail occasionnel
Expérience : < 6 mois
Éducation : Bac +5 / Master

SkillCorner
SkillCorner

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Le poste

Descriptif du poste

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 prediction team delivers objective and standardized physical performance metrics to assist in profiling, identifying, and benchmarking players, teams, and leagues globally. These metrics encompass physical data such as distance covered in speed zones, peak velocity, and acceleration profiles, as well as in-depth performance insights and context regarding both on-ball and off-ball actions.

The physical data come from a fully automated, consistent, and scalable data collection process using single-camera video, overcoming player visibility limitations. This enables objective measurement of each player’s actions, making it easy to compare and evaluate player capabilities across several leagues.

Job description

We are looking for an intern to join the Physical Data section of our Prediction team. In this role, you will work on an R&D project focused on developing a new acceleration metrics. You will gain hands-on experience across all stages of implementation, including data acquisition and management, solution design, model training, validation, and deployment in production.

This position offers a rare combination of cutting-edge research and practical application. You’ll have the flexibility to explore and develop innovative solutions, with the assurance that your work will quickly transition from research to production—directly impacting sports teams and organizations worldwide.

Benefits:

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

  • Engage in cutting-edge R&D projects that rapidly move into production.

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

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


Profil recherché

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

  • Prior experience in Machine Learning competitions or data-driven projects is a must (e.g., Kaggle competitions or personal projects on GitHub).

  • Strong knowledge of optimization problems and signal processing.

  • Proficient in using Python usage for machine learning applications

  • Excellent communication skills in English and in French

  • Interest in solving real-world problems: you love connecting and fine-tuning solutions to solve hard problems.

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

  • A strong interest in sports analytics

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