Open Source Q&A and Videos

I have never contributed to open source but would like to start doing so. I believe this will make a huge difference in landing big tech jobs. Would like some references, steps, directions for beginners to get started in this journey.

I'm trying to break into AI as a Machine Learning Engineer. I want to demonstrate expertise in AI/ML topics and capture a "Wow" factor by contributing to a well-known open source AI project.

I'm looking for suggestions spanning CV, NLP, tabular data and collaborative filtering -- not excluding but not limited to the latest GenAI stuff.

Some context: I have an MS in CS, did CV research, and completed Jeremy Howard's ".

The itself is a popular target for a first contribution. See:

2. (if the link doesn't work, it's also discoverable: search "fast.ai"). #fastai-dev is the contributors' channel.

One concern is identifying something that's non-trivial but tractable for a relative newbie. I realize there's tension between this and achieving that "Wow" factor at least in the beginning. I'm not sure a contribution to, say, PyTorch or scikit-learn is achievable from where I stand, but I could be wrong. Perspective on how to spot/scope opportunities would be appreciated too.

Thanks very much!

Potentially relevant questions on Taro: