Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own the development and deployment of advanced computer vision models including object detection, multi-object tracking, camera calibration, and semantic segmentation for player tracking across multiple sports at professional and collegiate scales.
- • Build and scale high-performance data pipelines for video and image ingestion, processing, and analysis that meet the demands of large-scale sports programs.
- • Contribute across the full computer vision and machine learning lifecycle—from data gathering and model development to training, production deployment, monitoring, and iterative refinement.
- • Drive R&D initiatives in 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research, with autonomy to explore within project scope.
- • Design and implement modular, maintainable software architectures for complex CV/ML pipelines, prioritizing system reliability and scalability over prototype-only solutions.
- • Collaborate closely with Software Engineering, Product, and Data Ops teams to ensure technical outputs are understood, integrated, and effectively utilized by coaches, players, and front office personnel.
- • Work in a small, highly technical team focused on applied research where models are shipped to real-world users in competitive sports environments.
- • Utilize cloud computing platforms (AWS or similar) and optimize models using CUDA for GPU acceleration in Linux environments.
- • Communicate complex technical concepts clearly to non-technical stakeholders to ensure downstream teams can act on model outputs with accuracy and confidence.
- • Participate in end-to-end product development cycles where research directly impacts performance analytics used by top-tier athletic programs.
- • Leverage Teamworks’ investment in AI tooling and infrastructure to work at the frontier of sports technology with access to extensive video datasets and computational resources.
- • Contribute to the evolution of Teamworks’ Coaching product line, which integrates technology from Telemetry Sports, Sportlogiq, Zelus Analytics, and PFF to power player tracking and performance insights.
- • Operate in Eastern or Central Time zones within the United States or Canada, with flexibility to work at either Computer Vision Researcher I or II levels based on experience.
🎯 Requirements
- • Hands-on proficiency in Python, PyTorch, and OpenCV for production-grade computer vision 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, plus working knowledge of Linux environments and CUDA for GPU optimization
- • Ability to communicate complex technical work clearly to non-technical partners
🏖️ Benefits
- • Opportunity to work on applied research with direct impact on professional and collegiate sports performance analytics
- • Access to extensive AI tooling and computational resources to support frontier-level research
- • Autonomy to drive R&D initiatives within project scope, including integration with LLM/NLP and real-time systems
- • Work within a team that ships production systems used by top-tier sports organizations worldwide
Skills & Technologies
About Teamworks Technologies, Inc.
Teamworks is a leading athlete engagement platform that provides a centralized hub for sports organizations to manage communication, scheduling, and performance data. The platform offers tools for coaches, athletes, and staff to streamline operations, enhance team cohesion, and improve overall performance. Its comprehensive suite includes features for messaging, content sharing, workout tracking, and analytics. Teamworks serves a wide range of sports, from professional leagues to collegiate and international teams, empowering them to build stronger connections and achieve their goals through innovative technology solutions.
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