AI Researcher - Chercheur.euse en intelligence artificielle

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February 8

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Sportlogiq

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Artificial Intelligence • Sports • Media

Sportlogiq is a global leader in AI-powered sports analytics, specializing in hockey analytics. Utilizing patented computer vision and machine learning technology, Sportlogiq provides game-changing data and insights that enhance sports performance and media presentation. The company offers valuable analytics, raw data, and video tools to sports teams, leagues, media organizations, and performance enhancement companies. Their solutions are designed to track what the human eye cannot, pushing the boundaries of sports technology and performance.

51 - 200 employees

🤖 Artificial Intelligence

⚽ Sports

📱 Media

📋 Description

• Research and develop advanced AI technologies to improve our core ML/CV algorithms and to solve sport analysis problems in a practical and scalable way. • Our research focus includes (but is not limited to) the following: Computer vision (object detection, camera calibration, tracking, re-identification, motion capture, activity detection, activity prediction, etc.) • Collaborating with engineering team and product managers to produce quality AI software solutions as well as reviewing the team’s code and experiments to provide insightful feedback • Conducting original, publishable research, to be presented at conferences and contributing to the company’s IP portfolio

🎯 Requirements

• PhD degree in computer science, electrical/computer engineering, or a related quantitative field with research and development experience in computer vision and machine learning • Experience with full CV/ML life-cycle from model development, training, testing, deployment, monitoring, and refining and iterating • Experience with deep learning frameworks (e.g., Pytorch or Tensorflow) • Solid programming skills in Python or C/C++ and familiarity with software development best practices • Strong publication record in computer vision, machine learning and deep learning in top tier conferences and journals • Ability to develop large-scale systems working with video/image data • Strong working knowledge of software architecture and data structure

🏖️ Benefits

• A comprehensive compensation package, including competitive salary, bonuses and comprehensive benefits program • Access to massive processing power, data, and whatever you may need to train large scale ML/CV models • A cooperative and fun work environment, supportive leadership for your personal growth. • We care about seeing each other reach full potential • Flexible work schedule • Freedom to publish the research work • Collaborative research with our world class academic network