
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🌾 Agriculture
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.
🕒 March 27
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11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🌾 Agriculture
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.
• 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
• 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
• 24 days paid vacation • your birthday off • local holidays • Home set up Allowance ($550) • A MacBook Air as your work device • Flexible work environment with hybrid and remote options
Apply Now🕒 March 24
Machine Learning Engineer focused on scalable AI tools for life sciences data. Collaborating in cross-functional teams to optimize insights and enhance data-driven efficiency.
AWS
Cloud
Google Cloud Platform
Kubernetes
Python
Terraform
🕒 March 18
AI Engineer creating innovative solutions for the AI team. Developing cutting-edge AI projects with a strong focus on MLOps and deployment.
Azure
Cloud
Docker
GRPC
Python
PyTorch
SQL
Tensorflow