At FunCorp, we're building a music tech product for people who sing and play guitar.

The product is still in a closed experimental phase, but the idea is ambitious: let a live musician play with AI in a way that feels like rehearsing with a real band — not like playing over a static backing track.

We're looking for an Engineer who doesn't just know how to train models — but picks up a guitar to check whether it actually sounds right.

This role sits at the intersection of math, invention, audio, and live music. You'll be part of a small team where your work directly determines whether the AI band sounds like a real one.

What you'll do:

• Run research based on a large volume of real guitar jam sessions
• Work with existing open source models and adapt them for music tasks
• Own the full cycle — from idea and research to implementation and deployment
• Work on both generation and recognition of instrument performance
• Test the results yourself — sit down with a guitar and listen
• Build and maintain infrastructure (Docker, cloud, MLOps)

We're looking for an engineer who:

• Plays guitar and loves music
• Has experience in audio/speech ML — generation, recognition, audio processing
• Knows how to work with open source models and adapt them for a specific task
• Understands music from the inside — can hear when a model sounds right and when it doesn't
• Wants to work in an AI-native company

Format: full-time, fully remote.