Start your career at a Sports Startup.

Find and list tech and startup jobs in Sports.


is looking for a

Machine Learning Researcher

Share this jobTweet this jobPost on Linkedin

Montreal, Canada

SPORTLOGiQ is the leading provider of advanced analytics data for professional hockey teams and broadcast media. As a Machine Learning Researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. To be successful in this role, you must be a fast learner and have the ability to thrive in a dynamic environment; combining conceptual and applied research, entrepreneurship, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling. Responsibilities: Our ideal candidate would have strong experience in developing novel machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data. Required Skills: Graduate degree (PhD preferred) with research experience in applied machine learning Solid skills in C/C++ or Python Ability to develop large-scale systems working with image/video data Deep understanding of machine learning theory and mathematical modeling Strong working knowledge of software architecture and data structure Desired Skills & Experience: Research experience and publications in relevant fields in top-tier conferences and journals Up-to-date knowledge and understanding of recent advances in machine learning, particularly semi-supervised learning and deep reinforcement learning Research experience in time series analysis and/or structured prediction Practical experience with deep learning frameworks What We Offer: Competitive salary Flexible work schedule Bonus structure and employees stock options Comprehensive benefits program A cooperative and fun work environment Freedom to work on your own projects Last but not the least, you will have the opportunity to publish original research, participate in scientific conferences, and collaborate with academic partners* Job Type: Full-time Experience: Machine Learning: 1 year (Required) Education: Master's (Required)

Apply for this job