Machine/Deep Learning and Signal Processing Engineer

📍 Graz, Austria | Part-Time or Full-Time

About Auphonic

Auphonic develops intelligent audio algorithms by combining AI and classical signal processing. Our automatic audio post-production service acts as an audio autopilot for podcasts, broadcasters, radio, interviews, audiobooks, lecture recordings, and more.

Hundreds of thousands of users worldwide rely on our technology, which continuously adapts to new data. To keep improving, we’re looking for new talent to join our team.

Your Role

As an experienced developer, you will help design and implement new machine learning and signal processing algorithms at Auphonic. From clever audio engineering tricks and classical DSP theory to large deep learning models, you’ll have the freedom to experiment and innovate. You will also work with large-scale, real-world datasets using our GPU infrastructure.

Your Profile

• Strong background in machine learning and deep learning (training models on GPU servers, research, etc.)
• Knowledge of classical audio signal processing (filtering, FFTs, sampling, MFCCs, VAD, etc.)
• Interest in audio engineering, recording, mixing, and podcasts
• Excellent software development skills: Python (PyTorch, NumPy, SciPy), C/C++, Linux/Bash, Git
• Self-motivated, quick learner, adaptable to changes
• Relevant university degree or equivalent experience

What We Offer

• Part-time (≥34h/week) or full-time (38.5h/week) employment according to the IT Collective Agreement
• Competitive salary starting at €55,000 gross per year (senior, full-time) or more, depending on your qualifications and experience
• Hybrid setup: office in Graz (at least 2 days/week) + home office flexibility
• Flexible time management, no all-in contracts, no overtime

How to Apply

Please send your CV and links to relevant projects to [email protected]