Machine/Deep Learning and Signal Processing Engineer Machine Learning Graz

Auphonic; Graz; Vor Ort; 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

Machine/Deep Learning and Signal Processing Engineer

Part-Time / Full-Time

Graz

Auphonic develops intelligent audio algorithms using a combination of AI and signal processingto create an automatic audio post production web service — an audio autopilot for podcasts,broadcasters, radio, interviews, audiobooks, lecture recordings, and more.
Millions of users rely on our services and algorithms, which adapt to new datadaily. That is why we continually seek new talents to join our team and improve our solutions.

As an experienced developer, you will play a key role in creating the newmachine learning and signal processing algorithms of Auphonic.
From simple audio engineering tricks, over classical signal processing theory to big deep learning models,we encourage you to look into your own ideas on how to improve existingalgorithms or work on new solutions.You will experiment with our large-scale, real-world datasets on GPU infrastructure.

Your profile:

• Strong machine learning background (deep learning, training models on GPU servers, research, etc.)
• Classical audio signal processing theory (filtering, FFTs, sampling, MFCCs, VAD, etc.)
• Excellent software development skills: Python (pytorch, numpy, scipy), C/C++, Linux/Bash, git
• Self-motivated, ability to learn quickly and adapt to changes
• Relevant degree from a university or equivalent experience
• € 55.000 gross per year (for senior, full-time) or more, depending on your qualifications and experience
• Work in our office in Graz (at least 2 days per week), home office possible
• Flexible time management for a healthy work-life balance (no all-in contracts, no overtime)

How to apply:
Please send your CV and links to some of your past projects [e-mail] .