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 Py. Torch, 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