Degree in Artificial intelligence- AI
Degree in Computer Engineering
C Programming, C++, Computer Vision (CV), Data structuring, Deep Learning, English Proficiency, French Canadian Language, French language, Large scale data processing, Machine learning techniques, PyTorch, Sports analytics, TensorFlow
We are the world's sports analytics leader, using cutting-edge AI technology to produce unique sports data and performance insights. These insights provide an edge to teams, leagues, media organizations, betting operators, and rights holders of all sizes. We use a variety of techniques to collect and analyze sports data, allowing our partners to discover contextual insights and derive value from them in brand new ways.
As an AI researcher, you will be a part of our highly talented innovation team, developing solutions used in real-world applications at massive scale. Working at Sportlogiq, you will have access to massive datasets; significant in-house and cloud processing power; and data annotation services to collect any type of additional data you need; to design your game changing AI models for sport analytics applications.
Being part of our innovation team, you will also have the opportunity to publish original research in peer-reviewed journals and participate in conferences around the world, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, and more.
To be successful in this role, you must be a fast learner with lifelong commitment to expanding your knowledge. You should be able to thrive in a dynamic environment that combines theoretical and applied research, systems building and collaborative work. This is a unique opportunity to shape the future of sport analytics, coaching, media storytelling and betting.
What you will be doing:
What you’ll need:
What we offer:
Sportlogiq is an AI powered sports analytics company. We help teams win more games and broadcasters engage more viewers. Our advanced analytics software tracks the location and actions of every player on the ice, field, or court using standard game footage. Machine intelligence techniques are then used to extract meaningful insights from the data collected, allowing teams and fans to understand and experience the game in ways previously unimag