At GRAI we’re building at the edge of AI and audio - rethinking how machines understand, generate, and interact with sound. Small team, fast iteration, real impact. If you like shipping things that actually get used, you’ll feel at home.

What you’ll do

• Turn research ideas into working prototypes - and prototypes into production

• Work on audio-focused ML problems (speech, music, sound events, generative audio, etc.)

• Design and run experiments, iterate quickly, and make data-driven decisions

• Train, evaluate, and improve models (quality, latency, cost)

• Explore and implement state-of-the-art approaches from recent papers

• Collaborate closely with product and engineering - we keep feedback loops short

• Own problems end-to-end: from idea → experiment → deployment

What we’re looking for

• 3+ years of experience as a Research Engineer / ML Engineer / Applied Scientist

• Strong Python skills + hands-on experience with PyTorch (or similar)

• Solid understanding of ML fundamentals (optimization, probability, modeling)

• Experience building and shipping ML systems (not just notebooks)

• Comfortable reading papers and turning them into working code

• Ability to move fast, prioritize, and deal with ambiguity

Nice to have

• Experience with audio / speech / music ML

• Familiarity with:

  • audio representations (spectrograms, embeddings, etc.)

  • speech models (ASR, TTS)

  • generative audio models (diffusion, autoregressive, etc.)

• Experience with LLMs or multimodal models

• Optimization experience (low-latency inference, quantization, streaming)

• Background in signal processing

What we offer

• A chance to be at the forefront of AI-driven music innovation.

• A real seat at the table - your observations from testing translate directly into product improvements and feature ideas that get heard.

• Competitive salary and equity options.

• Flexible working environment.

• Opportunity to collaborate with top researchers, musicians, and engineers in the field.

• A dynamic startup culture with a focus on creativity and experimentation.

Bonus points

• Open-source contributions or research work

• You’ve built something cool (side projects count!)

• Taste for good sound 🙂