Research Engineer

WHAT YOU’LL DO

- Work on generative audio systems across models, evaluation, and data

- Design experiments that separate genuine progress from noise

- Build evaluation and dataset pipelines that make model quality measurable and iteration faster

- Make sound trade-offs across quality, latency, reliability, and cost

WHAT WE’RE LOOKING FOR

- Comfort taking ownership in ambiguous problem spaces and staying engaged with the problem until it is solved

- Genuine interest in audio, music, and generative modeling

- Strong habits around evaluation, reproducibility, and performance

- Fluency in Python and PyTorch, or similar tools

ESPECIALLY RELEVANT EXPERIENCE

- Generative modeling, including diffusion, autoregressive methods, or hybrids

- Audio ML, or adjacent experience that transfers well, such as image generation

- Multi-GPU or distributed training

WHAT WE OFFER

- High ownership over important technical work

- Be at the forefront of AI-driven music innovation

- Opportunity to work on infrastructure at scale

- Competitive compensation and equity

- Flexibility in how you work