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