Rosebud.ai is building the AI Roblox.  We use generative AI workflows to accelerate game development and creative. The next few years of AI are going to define the coming few decades of the world. Some wait a lifetime for a moment like this. For those who have an inner fire to make something great, join us. Let’s build.For more on vision and team. Check out this 3 min video:https://www.youtube.com/watch?v=JuxMHfzUff0&ab_channel=Lishali.

Rosebud AI

LLMs and general AI Researcher/Engineer

Full Stack Engineer

This role involves ongoing research in generative asset creation using text, combining large language models with traditional NLP algorithms, and investigating new methods for game creation. The engineer will implement and modify state-of-the-art generative methods, prototype ML models, and follow generative DL trends. The ideal candidate will have experience in generative DL in the text domain, deep learning, traditional text processing methods, and LLMs. They should be proficient in PyTorch and familiar with development tools like Git, Docker, and cloud platforms. Experience in related domains such as image processing, 3D graphics, video processing, and game development is a plus.

## Application Process

1. Fill out this form so we can get in contact with you: [https://airtable.com/shrZj3eXVXaUnV1KB](https://airtable.com/shrZj3eXVXaUnV1KB)

## About Us

[Rosebud.ai](http://rosebud.ai/) building generative AI workflows to accelerate game development and creative. We want to empower indie devs to build games at the speed of thought.

We're the team that built&nbsp;[Tokkingheads](https://tokkingheads.com/)&nbsp;(2 million IOS downloads, all organic) that allows any portrait/photo/face to be animated in seconds with no skill.&nbsp; And Synth ([https://www.synth.run](https://www.synth.run/)), a simple mobile app that allows users to create images based on Stable Diffusion. We’re a team of PhD researchers, creatives and engineers backed by&nbsp;**[Y Combinator](https://www.ycombinator.com/companies?batch=w2020)**&nbsp;with our seed led by Vinod Khosla at&nbsp;**[Khosla Ventures](https://www.khoslaventures.com/)**&nbsp;with participation from&nbsp;[Andrej Karpathy,](https://twitter.com/karpathy?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor)&nbsp;[Balaji Srinivasan](https://balajis.com/)&nbsp;****(Former CTO Coinbase and A16Z GP),&nbsp;**[Ilya Sutskever](https://twitter.com/ilyasut)**&nbsp;(cofounder/chief scientist Open AI),&nbsp;&nbsp;**[Kevin Lin](https://www.linkedin.com/in/kevinlin3/)**&nbsp;(cofounder COO Twitch),&nbsp;[Holly Liu](https://twitter.com/hollyhliu)&nbsp;C*o-founder Kaba,*&nbsp;**[Jon Snoddy SVP](https://en.wikipedia.org/wiki/Jon_Snoddy)**&nbsp;*@ Walt Disney Imagineering,*&nbsp;**[Jeff Dean](https://twitter.com/jeffdean)**&nbsp;*SVP Google Research and*&nbsp;**[Adam D'Angelo](https://twitter.com/adamdangelo)**&nbsp;*CEO Quora.*

## *Why Join us?*

🚀 Join a Rocket Ship!

🚀 Ship products that delight millions of users while having direct product impact on a small team (2 million downloads in over 180+ countries).

🚀 Do cutting edge ML and full stack work

🚀 Remote outside of SF Bay Area, or 4 day in person policy for Bay Area.

🚀 Work with a passionate, low ego, world class team!

Our team is still quite small (<10), so you’ll have massive impact on the trajectory of the business from Day One.

## *Your Role*

- Ongoing research in generative assets creation methods in text domain
- Combining the full power of large language models with more traditional NLP algorithms
- Investigating new methods for creating games
- Implementing state-of-the-art generative methods from scratch, as well as modifying them, including LLMs for code generation and editing
- Prototyping ml models and pipelines to meet business requirements
- Follow generative DL methods trends

You fit well if you have great experience in modern natural language processing dl based methods, if you can take some idea or business task, find good open source or implement simple methods to create prototype, package all of this for demo and always have ideas on how to iteratively improve (better quality, faster for inference, other workflows, …)

## *Requirements*

- Experience in generative DL in text domain
- Great experience in DL and traditional text processing methods
- Experience in LLMs
- Great pytorch knowledge
- Dev tools - git, docker, clouds
- Experience in related domains (images processing, 3d graphics, video processing, gamedev) is a plus

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