Rosebud.ai is building the synthetic media platform for web3. We are helping creators make composable assets for web3 world building.

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. Creators use Tokkingheads to make memes,  deepfake parodies, NFTs. 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 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,  Kun Gao (cofounder, CEO Crunchyroll), Linda Xie Founder Scalar Capital, Jon Snoddy SVP @ Walt Disney Imagineering, Jeff Dean SVP Google Research, Adam D'Angelo CEO Quora, and Lily Liu. cofounder http://earn.com.

About Us

Rosebud.ai is building 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 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! Work on Generative AI, get to the forefront of your field. Change the trajectory of your career.

 🚀 Build the AI Roblox, change the future of gaming with generative AI. Build worlds and games at the speed of thought.

🚀 Ship products that delight millions of users while having direct product impact on a small team (2 million downloads in over 180+ countries).

🚀 Fully remote--live anywhere!

🚀 Work with a passionate, low ego, world class team!

Your Role

1. Build innovative, responsive and user-friendly client-side applications
2. Collaborate with product stakeholders and engineers to design, implement, document, and maintain full-stack applications and features for existing applications.
3. Collaborate with machine learning engineers to deploy, monitor, and maintain machine learning models.

Who We Are Looking For

• Excellent written and verbal communication skills in English.
• Comfortable in a fast paced collaborative environment.
• Experience with frontend development workflows, languages and frameworks (i.e. JavaScript, TypeScript), and tooling (i.e. React, web browser developer tools).
• Familiar with backend development workflows, languages (i.e. Python, Go, Rust), and tooling (i.e. debuggers, profilers).
• Experience with Linux-based systems (i.e. Ubuntu, CentOS, Alpine, Arch) and tooling (i.e. ssh, package managers).
• Experience working with containers and container orchestration systems (Docker, Docker Compose, etc).
• Experience using Git for version control.

Nice to Haves

• Experience with native mobile development workflows, languages (i.e. Swift, Kotlin), and tools (i.e. XCode, Android Studio).
• Experience working with relational databases (i.e. PostgreSQL, MySQL) and related tooling (i.e. database migrations, database backups).
• Experience working with multiple cloud providers (i.e. AWS, GCP, Azure, Linode, DigitalOcean).

In this role, you’ll build and implement novel Machine Learning and Deep Learning systems, as well as helping to build the infrastructure to train and deploy them. Specifically, you’ll: Design and implement the infrastructure required to train and run inference of models at scale. Build state-of-the-art deep learning and specifically Generative Adversarial Network (GAN) models. Work with the mobile development team to build real-time systems for model serving Work with the data team’s infrastructure to build real-time and offline feature databases As we grow, scale the ML system to be able to support more use cases and ML model types Qualifications & Requirements for ML Engineer Nice to have: Experience integrating with front end mobile systems, like React Native. Experience working with Google App Engine. Experience re-implementing deep learning models from papers. Especially previous work with GANs. One of the following: (a) BS or MS in CS or related field with 1+ years of experience in implementing and deploying large scale ML solutions (but honestly high school drop out is fine if you are a amazing dev). OR (b) Ph.D. in Machine Learning, Statistics, Optimization, Physics, or related field, with 1+ years experience building production-ready ML models and systems Strong software engineering fundamentals - understanding of data structures and algorithms, O-notation, ability to maintain a test suite and write clear maintainable code Familiarity with a majority of the following tools: Pytorch, Tensorflow, Numpy, Scipy, pandas, scikit-learn, Google App Engine. Strong programming skills in Python and ability to wrangle data from many disparate data sources Professional experience in either mobile development or full stack engineering Technologies we use: Pytorch, Swift, Google Clould Platform and AWS.