Sonauto is building a platform for creating, sharing, and listening to music made with their in-house generative music model Melodia, enabling people who have never made music before to express themselves in a new way.
Requirements
- Torch/PyTorch
- JavaScript
- Python
- GPU Programming
- Machine Learning
- CUDA
- Python (PyTorch)
- JavaScript (TypeScript)
- Extensive experience with PyTorch training generative models like diffusion models, GANs, and language models.
- Experience with JavaScript (our frontend is React/NextJS) and backend development are also important to us.
- Experience with audio models is a huge plus.
Responsibilities
- You will lead research efforts for improving the song and audio quality of our generative music models, along with productizing the results.
- We're training state of the art generative models in a completely new modality where the standard of quality is significantly higher than those that came before.
- Accordingly, we are consistently implementing new generative architectures and improving current ones.
- Right now we're doing distributed training at the scale of hundreds of H100s on diffusion models, GANs, language models, and more written in PyTorch.
- Our models go right into production and are generating tens of thousands of songs within days of (and frequently even before) finishing training.
- Our most important goal is the product itself, so extensive experience in JavaScript (our frontend is React/NextJS) and backend development are also important to us.
Other
- US citizen/visa only
- Many of our biggest improvements wouldn’t have been possible without extremely close listening, so being an audiophile and/or having music production experience are also huge pluses.
