(Senior) Computer Vision Engineer (Coaching) - Remote

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.

Game Plan - How You'll Drive Impact:

• Develop and deploy advanced computer vision models including object detection, multi-object tracking, camera calibration, and semantic segmentation for player tracking and data generation across multiple sports 
• Build and scale high-performance systems for video and image data ingestion, processing, and analysis that can handle the demands of professional and collegiate sports programs 
• Design modular, extensible architectures for multi-sport data pipelines that integrate seamlessly with Teamworks' existing Intelligence platform 
• Contribute to the full CV/ML lifecycle from model development and training through evaluation, deployment, monitoring, and iterative refinement 
• Optimize systems for GPU acceleration leveraging CUDA/Nvidia hardware for both training and inference workloads in cloud environments 
• Drive next-generation R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research efforts 
• Collaborate with cross-functional teams to rapidly evaluate and integrate top open-source models and methods into production systems

Player Profile - What You Bring to the Team:

• Strong computer vision and machine learning fundamentals with a deep understanding of deep learning, CNNs, tracking algorithms, and modern CV techniques 
• Proficiency in Python development with solid experience using PyTorch and OpenCV for computer vision applications 
• Experience building scalable systems for video and image data processing, including real-world dataset collection, labeling, and model training 
• System design expertise with the ability to design and implement modular, maintainable software architectures for complex ML pipelines 
• Cloud computing experience with AWS or similar platforms for scalable processing and deployment of CV models 
• Linux environment proficiency and working knowledge of CUDA programming for GPU optimization 
• Applied machine learning experience with hands-on experience, taking models from research through production deployment 
• Strong problem-solving skills with the ability to work effectively in a small, highly technical, fast-moving team environment

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 ga