Teamworks
Sports Technology
ComputerVisionResearcher
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Computer Vision Researcher at Teamworks. Skills: Computer Vision, Machine Learning, Model deployment, Applied research. Own development of advanced CV models. Own deployment of advanced CV models”
What You'll Achieve.
Deliver player tracking; Deliver performance analytics
Industry & Context.
Solve hard problems
What They're Looking For.
Must Have
Hands-on Python proficiency, Hands-on PyTorch proficiency, Hands-on OpenCV proficiency, Experience taking CV/ML models through full lifecycle, Ability to design modular software architectures, Cloud computing experience, Working knowledge of Linux environments, Working knowledge of CUDA
Nice to Have
Experience with multi-camera systems, Experience with 3D pose estimation, Experience with camera calibration, Background in real-time CV system development, Research publication record, Open-source contributions, Prior work in sports analytics
What You'll Do.
Own development of advanced CV models
Own deployment of advanced CV models
Build high-performance pipelines
Scale high-performance pipelines
Contribute to CV/ML lifecycle
Drive R&D initiatives
Explore within project scope
How You'll Work.
Team & Collaboration
Collaborate with Software Engineering; Collaborate with Product; Collaborate with Data Ops
Communication Scope
Communicate technical work
Full Job Description
I'm Jordan Chipka https://www.linkedin.com/in/jordan-chipka/, Sr. Engineering Manager at Teamworks, and I'm hiring alongside Ryan Sanford https://www.linkedin.com/in/ryansanford2/, one of our Engineering Managers on the Coaching Engineering team. Our Computer Vision team powers the Teamworks Coaching product line — built on the foundation we've been developing since our acquisition of Telemetry Sports and strengthened through the additions of Sportlogiq, Zelus Analytics, and PFF — and we're expanding it to deliver player tracking and performance analytics across multiple sports at professional and collegiate scale. 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 open to hiring this role in Eastern Time or Central Time in the US or Canada, and at either the Computer Vision Researcher I or II levels. THE ROLE - 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 WHA
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