Machine Learning Scientist

Machine Learning Scientist - Generative Audio (Series C, Cutting-Edge Research Environment)

Join a research-driven ML team building the most advanced generative audio technology in the world. This is a rare chance to shape the future of music creation where cutting-edge model development meets real creative impact for millions of users globally.

We're a well-funded Series C startup backed by top-tier investors (Lightspeed, Menlo) with a ~120-person team. You'll get the fast-moving ownership of an early-stage environment with the stability, compute, and compensation of a later-stage company.

As an ML Scientist, you'll work directly with the founding team and an experienced group of research scientists and engineers. You'll run your own research initiatives, explore new approaches for generative audio, and train models at a scale very few startups offer an H100-per-scientist ratio of well over 100×.

What you'll work on :

• Owning and running independent research projects that push the boundaries of generative audio
• Training state-of-the-art models using PyTorch
• Optimizing training and inference pipelines on hundreds of H100s
• Developing methods that make AI-generated music more appealing, expressive, and widely accessible

What makes this opportunity unique :

What we're looking for :

This is an ideal role for someone who's excited by deep research, massive scale, and the chance to define the next era of generative audio. If music inspires you and large-model experimentation motivates you, you'll thrive here.