Ultralytics ML Engineer Open Source Community & Triage Lead

Who we are

Established in 2010 Ultralytics boasts a global presence with over 100000 organizations worldwide using Ultralytics YOLO. At Ultralytics we commit to the relentless innovation in the AI space and seek team members who resonate with our ambition to democratize the power of AI and make it accessible and available to all.
Our vision is to create a future where every person regardless of means or background has equal access to transformative AI enabling them to seize opportunities and shape their own path. Aware that our time is finite we strive to make a lasting impact that benefits future generations.

How we work

At Ultralytics we thrive on an exciting fast-paced journey of innovation and excellence. Our high standards inspire a level of commitment that often extends beyond the typical workday including occasional evenings and weekends. This role is designed for extraordinary individuals who are passionate about making an impact in a dynamic start up environment and ready to contribute their best to drive our ambitious vision forward. If youre eager to push boundaries and be at the forefront of AI advancement wed love to connect with you.

What Youll Do

As our Open Source Triage Lead you will manage community interactions and technical maintenance across all Ultralytics GitHub repositories. Your role is crucial in ensuring the excellence of our open-source ecosystem. You will:

• 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

• Support users in GitHub Discussions

• Collaborate with the ML team on new features and models

Your community focus and technical expertise will be essential in supporting Ultralytics mission of delivering top-tier machine learning tools to developers worldwide.

Preferred skill set:

• 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

• Competitive salary depending on experience and location
• Time Off:24 days paid vacation your birthday off plus local holidays
• Home set up Allowance ($550)
• AMacBook Airas your work device
• Flexible work environment with hybrid and remote options
• The candidate must be eligible to work as anindependent contractorin their home country (handbook for more detail)