Ultralytics
Artificial Intelligence ⢠Healthcare ⢠Agriculture
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.
ML Engineer - Open Source Community & Triage Lead
Job not on LinkedIn
February 28
Ultralytics
Artificial Intelligence ⢠Healthcare ⢠Agriculture
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.
đ 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
đŻ 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
đď¸ 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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