Computer Vision Engineer

Teamworks

2d•$145,000 - $189,000•Remote

About The Position

This is a role for someone who wants to do real applied research and ship it. You'll work on a small, highly technical team where the problems are genuinely hard, the resources are there to solve them, and the output ends up in the hands of players, coaches, and front office personnel at some of the most competitive sports programs in the world. We're expanding our Computer Vision team to deliver player tracking and performance analytics across multiple sports at professional and collegiate scale. This team powers the Teamworks Coaching product line, built on the foundation developed since the acquisition of Telemetry Sports and strengthened through the additions of Sportlogiq, Zelus Analytics, and PFF.

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

Nice To Haves

Experience with multi-camera systems, 3D pose estimation, or camera calibration for spatial tracking
Background in real-time or near-real-time CV system development with performance optimization
Research publication record in CV or ML, open-source contributions, or prior work in sports analytics

Responsibilities

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