ML Engineer – Open Source Community, Triage Lead

🕒 March 27

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 75%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ultralytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

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.

📋 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

• 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