Computer Vision Engineer

🕒 June 3

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Teamworks

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

⚽ Sports

☁️ SaaS

🤖 Artificial Intelligence

💰 $235M Series F - Teamworks on 2025-06

Sports • SaaS • Artificial Intelligence

Teamworks is a SaaS "Operating System for Sports" that unifies communication, roster and personnel management, scheduling, performance, coaching, compliance, inventory, nutrition, and other operations for professional, collegiate, Olympic/NGB, and military/tactical teams. The platform centralizes workflows, file sharing, automated processes, and AI-driven analytics (Teamworks Intelligence) to inform talent acquisition, roster construction, athlete evaluation, and game strategy. Teamworks serves thousands of teams and hundreds of collegiate departments and professional organizations worldwide, helping organizations coordinate staff and athletes, streamline operations, and improve performance.

📋 Description

• Own the development and deployment of advanced CV models — object detection, multi-object tracking, camera calibration, and semantic segmentation — for player tracking across multiple sports • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis that hold up under the demands of professional and collegiate programs • Contribute across the full CV/ML lifecycle, from data gathering, model development and training through production deployment, monitoring, and iterative refinement • Drive R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research — with real latitude to explore within the scope of each project • Collaborate closely with Software Engineering, Product, and Data Ops to ensure your work is understood, integrated, and used correctly downstream

🎯 Requirements

• Hands-on proficiency in Python, PyTorch, and OpenCV for production CV applications — not just research prototypes • Demonstrated experience taking CV/ML models through the full lifecycle: development, training, evaluation, deployment, and ongoing refinement in real-world systems • Ability to design and implement modular, maintainable software architectures for complex CV/ML pipelines — this team builds systems, not just models • Cloud computing experience with AWS or similar platforms, plus working knowledge of Linux environments and CUDA for GPU optimization • The ability to communicate complex technical work clearly to non-technical partners — when other teams act on your outputs, they need to actually understand what you built and why

🏖️ Benefits

• Offers Equity • Offers Bonus