Real-Time DSP ML Intern: C++ Audio Plug-ins

ARTURIA; Montbonnot-Saint-Martin; Sur place; EUR 10 000 - 15 000; Plein temps

Résumé du poste

ARTURIA in Grenoble area (Montbonnot-Saint-Martin) offers a 6-month internship in the DSP-Machine Learning team. You will adapt neural network audio models into real-time CPU implementations and embed them in audio plug-ins.

The role targets a PhD student or final-year master with strong DSP and ML skills, Python and PyTorch experience, and good English. Knowledge of C++ and audio DSP is a strong plus, and the project involves research and optimization.

Qualifications

• Strong knowledge in DSP and ML.
• Proficiency in Python and ML frameworks (notably PyTorch).
• Experience with C++ programming and audio DSP is a strong plus.

Responsabilités

• Adapt trained models into efficient CPU real-time implementations.
• Implement the SPTMod architecture in C++ using the Arturia framework.
• Evaluate audio fidelity and real-time viability of modeling.
• Optimize the final C++ implementation.

Connaissances

DSP

Machine Learning

Python

C++

PyTorch

Formation

Master's or PhD student

Outils

PyTorch

C++

Description du poste

ARTURIA in Grenoble area (Montbonnot-Saint-Martin) offers a 6-month internship in the DSP-Machine Learning team. You will adapt neural network audio models into real-time CPU implementations and embed them in audio plug-ins.

The role targets a PhD student or final-year master with strong DSP and ML skills, Python and PyTorch experience, and good English. Knowledge of C++ and audio DSP is a strong plus, and the project involves research and optimization.