Lightning-AI / Lightning-AI/pytorch-lightning

Come work with us at Lightning AI !!

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#14,613 1 comment 34 reactions 1 assignee View on GitHub

@nohalon is already working on this.

Since Sep 8, 2022.

help wanted
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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
______________________________________________________________________

#### 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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

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