Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates must live within commuting distance of the London office, but the flexible work policy has no requirements for the number of office days.
Extensive experience in computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection, and/or anomaly detection is required.
Hudl builds great teams with the best talent, trusts employees to work their way, fosters a supportive culture recognized as one of Newsweek's Top 100 Global Most Loved Workplaces, and supports sports' lifelong impact.
A strong candidate has a proven track record delivering impactful AI/ML products through collaboration, strong communication skills to convey technical concepts to stakeholders, and a growth mindset for learning new technologies and handling ambiguous work.
This information is not specified in the job description.
Video analysis tools for sports teams
Hudl provides tools for sports teams to capture, analyze, and learn from video and data. Their platform serves over 230,000 teams across 40 sports, including high school clubs and professional athletes. The service operates on a subscription model, offering performance analysis tools, AI-powered cameras for video capture, and online streaming for games. These smart cameras can livestream and record games, utilizing AI to ensure comprehensive coverage. Hudl also includes features for player recruitment, helping athletes connect with scouts and colleges. The company aims to enhance the growth of athletes, coaches, and teams by providing easy access to valuable information, ultimately maximizing their performance.