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Computer Vision Researcher

Role overview

Qualifications

  • Hands-on proficiency in Python, PyTorch, and OpenCV for production CV applications
  • 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
  • Cloud computing experience with AWS or similar platforms

Responsibilities

  • Own the development and deployment of advanced CV models for player tracking across multiple sports
  • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis
  • Contribute across the full CV/ML lifecycle, from data gathering to production deployment and iterative refinement
  • Drive RD initiatives including 3D body pose tracking and real-time analysis systems

About the company

Teamworks logo

Teamworks

Computer Software / SaaS

Teamworks is the proven operating system for high performance, powering more than 6,000 sports, military, and public safety organizations around the world. Available on a centralized and integrated platform, the Teamworks’ product suite provides specialized applications to support recruiting, development, management, individual branding, and community building. Based in Durham, North Carolina, and founded in 2004, Teamworks continues to expand its global presence with employees across ten countries and offices in London, England, and Brisbane, Australia. Visit teamworks.com to learn more.

Company details

IndustryComputer Software / SaaS
Company size201 - 500

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Job description

I'm Jordan Chipka, Sr. Engineering Manager at Teamworks, and I'm hiring alongside Ryan Sanford, 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

What I'm Looking For

What You Must Bring

  • 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

Even Better If

  • 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

Why This Role

This team has meaningful research latitude — you're not just implementing someone else's architecture. Teamworks invests heavily in AI tooling and makes sure engineers have what they need to work at the frontier. If you're excited about the intersection of software and sports, there aren't many places doing this work at this scale.


About Teamworks

We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.

Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com.


To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

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Marcus Rivera

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