Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries, Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world.
Following our recent acquisition of Telemetry Sports, we are expanding our Intelligence product suite to integrate cutting-edge computer vision and machine learning capabilities. You’ll join our AI and Computer Vision R&D team to develop flexible, scalable multi-sport player tracking systems that push the limits of computer vision, machine learning, and systems integration. Working alongside our Engineering Manager, you’ll help automate the time-consuming tasks that burden coaching and analytics staff, freeing elite organizations to focus on what truly matters: winning.
Our proprietary computer vision and machine learning systems already deliver elite-level player tracking and analytics to over 50 NFL and college football programs. Now, you’ll help us scale these capabilities across multiple sports while integrating them into the broader Teamworks ecosystem that serves over 6,500 organizations globally.
This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech.

THE IDEAL RECRUIT - SKILLS & EXPERIENCE:

• Multi-camera systems and 3D pose estimation experience with understanding of camera calibration and spatial tracking
• Real-time or near-real-time computer vision systems development with performance optimization experience
• Custom GUI development for data collection, annotation, and model evaluation workflows
• C++ programming experience for performance-critical modules and system optimization
• Sports analytics background with understanding of game dynamics and athletic performance metrics
• Research experience in computer vision, machine learning, or related fields from industry or academic settings
• Open-source contribution history with experience rapidly evaluating and integrating new methods and tools
• End-to-end system building experience taking ideas from concept through working product deployment

The pay range for this role is:
140,000 - 180,000 USD per year(Remote (United States)