ML Researcher
About Us
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.
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.
We’re a team of PhD researchers, creatives and engineers backed by Y Combinator led by Vinod Khosla at Khosla Ventures, A16Z Games Fund, with participation from Ilya Sutskever (cofounder/chief scientist Open AI), Andrej Karpathy (Director AI, Tesla), Kevin Lin (cofounder COO Twitch), Jon Snoddy SVP @ Walt Disney Imagineering, Jeff Dean SVP Google Research, Adam D'Angelo CEO Quora and Balaji Srinivasan (Former CTO Coinbase and A16Z GP).
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 (14), 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
Located in San Francisco Bay Area, CA
Apply Now
Apply Now
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.
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.
We’re a team of PhD researchers, creatives and engineers backed by Y Combinator led by Vinod Khosla at Khosla Ventures, A16Z Games Fund, with participation from Ilya Sutskever (cofounder/chief scientist Open AI), Andrej Karpathy (Director AI, Tesla), Kevin Lin (cofounder COO Twitch), Jon Snoddy SVP @ Walt Disney Imagineering, Jeff Dean SVP Google Research, Adam D'Angelo CEO Quora and Balaji Srinivasan (Former CTO Coinbase and A16Z GP).
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 (14), 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
Located in San Francisco Bay Area, CA
Apply Now
Apply Now