About the Role
The role involves developing and maintaining full-stack features with a focus on computer vision pipelines that process live video into structured game data, ensuring accuracy and performance across varied environments.
Responsibilities
- Design and implement scalable backend services for video processing
- Develop frontend interfaces that visualize real-time game data
- Optimize computer vision models for accuracy and low-latency inference
- Collaborate with product and design teams to deliver user-centric features
- Maintain and improve existing full-stack architecture
- Write clean, testable, and well-documented code
- Troubleshoot and resolve production issues
- Work with real-time data streams from live sports events
- Integrate machine learning models into production workflows
- Ensure system reliability during high-traffic game broadcasts
- Participate in code reviews and technical planning
- Monitor performance metrics and system health
- Support mobile and web application synchronization
- Refactor legacy components for improved maintainability
- Implement secure authentication and data handling practices
- Scale infrastructure to support growing user demand
- Develop APIs for third-party integrations
- Improve video ingestion and processing pipelines
- Collaborate on model training data collection and labeling
- Contribute to deployment automation and CI/CD processes
- Ensure cross-browser and cross-device compatibility
- Work with geographically distributed teams
- Respond to critical incidents during live events
- Document technical decisions and system designs
- Evaluate new technologies for potential adoption
Compensation
Competitive salary with equity and benefits
Work Arrangement
Hybrid remote
Team
Collaborative engineering team focused on real-time sports technology
About the Role
This position is central to advancing automated sports tracking through computer vision, enabling real-time stat generation and video synchronization for amateur and professional leagues.
Technology Stack
Primary languages include TypeScript and Python; infrastructure runs on AWS with Kubernetes orchestration; frontend built with React; backend services use Node.js and PostgreSQL; computer vision models are developed in Python using PyTorch and deployed via microservices.
Impact
Engineers directly influence how coaches, players, and fans experience live sports by transforming raw video into actionable insights with minimal delay.
Available for qualified candidates
