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:
- Revolutionary platform: Help power the world’s leading AI music creation system used by everyone from beginners to professional artists
- Massive impact: Your work directly improves the creative output of millions
- Unmatched compute: Access to one of the most GPU-rich environments in any startup
- Founder proximity: Work closely with co-founders on high-leverage research and technical strategy
What we’re looking for:
- 3+ years of ML research experience
- Demonstrated success training state-of-the-art generative models
- Prior work in audio or music ML (industry or published research)
- Advanced studies in ML, audio DSP, or related fields (Master’s or PhD preferred)
- Strong PyTorch skills and solid baseline software engineering ability
- Familiarity with our product and mission—and ideally, a genuine love of music
- Based onsite in Cambridge/Boston, New York City or Los Angeles
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.
