Advice for a who Aspiring to Contribute to yolo ,Computer Vision and Open Source

[tedo001]

Hello Ultralytics Team!

I’m a student with strong interest in artificial intelligence, yolo ,computer vision, and open-source technology. I’ve been following Ultralytics and learning from YOLO, and it has motivated me to grow deeper in this field.

I wanted to ask if there are any internship opportunities for students who are eager to learn and contribute

I’m especially interested in areas such as:

• Computer Vision
• Python Development
• yolo Model Training
• Open Source Contribution
• Deployment & Automation

If there are no current openings, I would also appreciate any advice on how students can prepare for future opportunities with Ultralytics.
Thank you for your time and for building amazing tools for the AI community !

[UltralyticsAssistant]

👋 Hello @tedo001, thank you for your interest in Ultralytics 🚀! This is an automated response to help get you started, and an Ultralytics engineer will also assist you soon.
We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.
Since you're interested in growing in YOLO, computer vision, open source contribution, and related opportunities, it would be helpful if you could share a bit more about your current experience, projects, GitHub work, and which areas of Ultralytics interest you most 😊
If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.
Join the Ultralytics community where it suits you best. For real-time chat, head to Discord 🎧. Prefer in-depth discussions? Check out Discourse. Or dive into threads on our Subreddit to share knowledge with the community.

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[glenn-jocher]

Thanks for your interest; we don’t handle internship applications through GitHub Discussions, but the best way to prepare is to build a small YOLO/computer-vision portfolio and start contributing with focused docs, tests, or bug-fix PRs using our Contributing Guide and How to Contribute.

[tedo001]

ok sir thanks for your response

[glenn-jocher]

You’re welcome, and best of luck with your learning journey — starting with a small, well-scoped docs or test contribution is usually the best way to get involved.