Machine/Deep Learning and Signal Processing Engineer

Podnews; Graz; Hybrid; EUR 50,000 - 61,000; Part time

Benefits offered by this job

Salary €55,000 gross per year

Office in Graz / Remote

Flexible hours

Job summary

Auphonic seeks an experienced developer to advance machine learning and signal processing algorithms for its audio post production service. You will explore deep learning models, traditional signal processing, and large-scale datasets on GPU infrastructure.

Work may involve building new solutions and experimenting with ideas to improve existing algorithms. Strong ML background required; office in Graz or remote, part- or full-time options, and a generous salary for senior profiles.

Qualifications

• Strong machine learning background (deep learning, training models on GPU servers, research, etc.)
• Classical audio signal processing theory (filtering, FFTs, sampling, MFCCs, VAD, etc.)
• Interest in audio engineering, recording, mixing, podcasts
• 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

Skills

Strong ML background

Audio signal processing theory

Interest in audio engineering

Python

Pytorch

NumPy

SciPy

C/C++

Linux/Bash

Git

Self-motivated

Relevant degree

Education

Relevant degree

Tools

Python

Pytorch

NumPy

SciPy

C/C++

Linux

Bash

Git

Job description

Auphonic develops intelligent audio algorithms using a combination of AI and signal processing to 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 data daily. 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 new machine 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 existing algorithms 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.)
• Interest in audio engineering, recording, mixing, podcasts
• 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

We offer:

• Part-time (>= 34h/week) or full-time (38.5h/week) employment, see [IT Collective Agreement]
• € 55.000 gross per year (for senior, full-time) or more, depending on your qualifications and experience
• Work in our office in Graz or remote
• Flexible time management for a healthy work-life balance (no all-in contracts, no overtime)