Lightning-AI / Lightning-AI/pytorch-lightning
Come work with us at Lightning AI !!
@nohalon is already working on this.
Since Sep 8, 2022.
- Dominant language
- Python
- Stars
- 31.4k
- Forks
- 3.8k
- Avg merge
- 6d 7h
- Merged PRs (30d)
- 6
Description
## 🚀 Feature
Calling all full-stack, backend, and frontend engineers to come build Lightning AI!!
### Motivation
I'm looking for awesome developers to join our team and revolutionize AI with us!
### Pitch
If you're seeing this- you already love Lightning and use it. We love to see that passion in the open-source community and would love to have you on the team :) You can do what you love AND get paid for it AND work with other awesome people 🎉
### Alternatives
You can join a different company and have less fun 😉
### Additional context
Job posts:
- [Fullstack Engineer](https://boards.greenhouse.io/lightningai/jobs/4652064003)
- [Frontend Engineer](https://boards.greenhouse.io/lightningai/jobs/4602924003)
- [Backend Engineer](https://boards.greenhouse.io/lightningai/jobs/4685719003)
Let's connect on linkedin: https://www.linkedin.com/in/noha-alon-9311aa80/
Add me on twitter ✌🏼 https://twitter.com/Noha_Alon
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#### If you enjoy Lightning, check out our other projects! ⚡
- [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
- [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic.
- [**Flash**](https://github.com/Lightning-AI/lightning-flash): The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, and solving problems with deep learning.
- [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.
- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.