Audio ML & Signal Processing Engineer — Graz, Flexible

Auphonic; Graz; Hybrid; EUR 49.500 - 60.500; Vollzeit

Benefits dieser Stelle

Office in Graz

Home office possible

Zusammenfassung

Auphonic, Graz-based, seeks a Machine/Deep Learning and Signal Processing Engineer to build and optimize audio algorithms using AI and signal processing techniques. You will develop models and signal processing blocks tailored for real-world audio postproduction.

You will work with large datasets on GPU infrastructure, explore classical signal processing theory, and contribute to practical, scalable audio solutions with flexible time management and hybrid work options.

Qualifikationen

• Strong machine learning background with GPU training experience.
• Classical audio signal processing theory including filtering, FFTs, MFCCs, VAD.
• Excellent software development skills in Python (PyTorch, NumPy, SciPy), C/C++, Linux/Bash, Git.
• Self-motivated, quick learner, adaptable to changes.
• Relevant degree from a university or equivalent experience.

Aufgaben

• Develop ML and signal processing algorithms for audio applications.
• Experiment with large-scale datasets on GPU infrastructure.
• Collaborate with team to improve existing algorithms and propose new solutions.

Kenntnisse

Machine learning

Audio signal processing theory

Python

C/C++

Linux/Bash

Git

Self-motivated

Relevant degree

Ausbildung

Bachelor’s degree or equivalent

Tools

Git

Linux

Jobbeschreibung

Auphonic, Graz-based, seeks a Machine/Deep Learning and Signal Processing Engineer to build and optimize audio algorithms using AI and signal processing techniques. You will develop models and signal processing blocks tailored for real-world audio postproduction.

You will work with large datasets on GPU infrastructure, explore classical signal processing theory, and contribute to practical, scalable audio solutions with flexible time management and hybrid work options.