Ultralytics
Ultralytics is an AI-focused company that provides an intuitive platform known as Ultralytics HUB for creating, training, and deploying machine learning models. With user-friendly capabilities, it allows individuals from various sectors, including agriculture, healthcare, and manufacturing, to develop AI-powered solutions easily and efficiently. By utilizing the Ultralytics YOLO framework, the platform enhances capabilities in computer vision, enabling users to optimize processes and solve complex challenges across industries.
AI • Deep Learning • Data Science • YOLOv5 • YOLOv8
ML Engineer - Open Source Community & Triage Lead
February 28
Ultralytics
Ultralytics is an AI-focused company that provides an intuitive platform known as Ultralytics HUB for creating, training, and deploying machine learning models. With user-friendly capabilities, it allows individuals from various sectors, including agriculture, healthcare, and manufacturing, to develop AI-powered solutions easily and efficiently. By utilizing the Ultralytics YOLO framework, the platform enhances capabilities in computer vision, enabling users to optimize processes and solve complex challenges across industries.
AI • Deep Learning • Data Science • YOLOv5 • YOLOv8
📋 Description
• Manage community interactions and technical maintenance across all Ultralytics GitHub repositories • Monitor and respond to GitHub issues and GitHub Actions alerts • Maintain and improve Docker environments • Manage package distributions through PyPI and Conda • Develop automated checks for documentation quality and consistency • Triage and reproduce reported issues • Review and merge community Pull Requests • Update documentation and guides on docs.ultralytics.com • Support users in GitHub Discussions • Collaborate with the ML team on new features and models
🎯 Requirements
• 5+ years experience with git, GitHub and open-source • 5+ years experience with Python • Proven experience managing open source communities • Strong understanding of documentation systems • Experience with Docker containerization • Familiarity with PyPI and Conda package management • Strong debugging and reproduction skills • Excellent written communication • Deep knowledge of YOLO models and computer vision • Experience with automated testing and CI/CD workflows
🏖️ Benefits
• Competitive salary, depending on experience and location • 24 days paid vacation, your birthday off, plus local holidays • Home set up Allowance ($550) • A MacBook Air as your work device • Flexible work environment with hybrid and remote options
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