Hiring LLMs and general AI Researcher/Engineer | Rosebud AI : PixelVibe

Llms And General Ai Researcher/Engineer

Rosebud Ai : Pixelvibe

Date listed

1 month ago

Employment Type

Full time



Application Process

  1. Fill out this form so we can get in contact with you: https://airtable.com/shrZj3eXVXaUnV1KB

About Us

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 Tokkingheads (2 million IOS downloads, all organic) that allows any portrait/photo/face to be animated in seconds with no skill.  And Synth (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 Y Combinator with our seed led by Vinod Khosla at Khosla Ventures with participation from Andrej Karpathy, Balaji Srinivasan **(Former CTO Coinbase and A16Z GP), Ilya Sutskever (cofounder/chief scientist Open AI),  Kevin Lin (cofounder COO Twitch), Holly Liu Co-founder Kaba, Jon Snoddy SVP @ Walt Disney Imagineering, Jeff Dean SVP Google Research and Adam D'Angelo 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

🚀 Fully remote--live anywhere!

🚀 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, …)


  • 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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