ML Engineer (Audio/Music)

Position: ML Engineer (Audio/Music) 🎸 — plays guitar

To: FunCorp, Bander (music AI startup)

Format: 🏡 remote

Salary Range (gross): 💰 from 3,000 to 6,500 € (per month)

About us 🤖 We at FunCorp are creating a new musical technology product for those who sing and play guitar. The idea: to give a live musician the opportunity to play with AI in a way that feels like rehearsing with a real band, not playing along to a static backing track. The product was launched in stores in August 2026.

We are looking for an ML Engineer 💻 to join our team We need someone who plays guitar themselves and is genuinely passionate about music — otherwise, they simply won't hear when the AI sounds wrong :)

What you will do: — Conduct research based on a large number of real guitar jams — Work with open-source models, adapting them for musical tasks — Be responsible for the full cycle: from idea and research to implementation and deployment — Generate and recognize instrument playing — Test by ear — with a guitar in hand — Work with infrastructure: Docker, cloud, MLOps

What is important to us: — You play guitar and live for music — Experience in voice/audio ML is mandatory — generation, recognition, sound processing — You know how to adapt open-source models to a specific task

Answers to 10 questions ❓

1. Data: we are at the very beginning of our journey — the product just launched in stores in August 2026, and a real corpus of guitar jams is currently being formed with users.
2. Hardware: Runpod with any necessary configurations. Production — on-premises + Runpod. For work — MacBook and all necessary services.
3. Scale of impact on core business: the impact is direct and tangible — you will be the sole technical specialist in the startup team.
4. Development stage of the direction in the company: this is the company's priority product right now.
5. Engineer's role: full cycle — from researching real guitar jams and training models to deployment and final ear testing.
6. Head's background: CEO — Andrey Mukhametov, LinkedIn
7. How often will you be interrupted: practically never — a short daily stand-up in the morning, then we work peacefully.
8. Career growth: you grow with the product.
9. Prod/Research: 80% research / 20% production
10. Service or leadership function: leadership — you will shape the direction, not support someone else's.

‼️ When applying, please be sure to write: your experience in voice/audio ML and how long and at what level you play the guitar 🎸