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Join Auphonic

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, movies, audiobooks, lecture recordings, and more.

Help us shape the future of audio algorithms and the audio web!

Hundreds of thousands rely on our services and algorithms, which keep adapting to new data every day. Try your ideas and new technologies, get fast feedback, and learn from it!
See what our users say and listen to some audio examples.

Junior Audio Deep Learning Engineer

As a Deep Learning Engineer, you will play a key role in ensuring our cutting-edge audio algorithms technology stays ahead of the curve.
You will implement and compare novel network architectures, research best practices, work on prototypes and evaluate what performs best. 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 local GPU and cloud infrastructure.

Your ideal profile:
  • Solid knowledge of machine learning and neural network theory
  • Experience in training deep learning models (LSTMs, CNNs, GRUs, GANs, etc.)
  • Excellent software development skills: Python (especially Numpy, Keras/TensorFlow and PyTorch), Linux/Bash, git
  • Self-motivated, ability to learn quickly and adapt to changes
  • Relevant studies on a university or equivalent experience
  • Interest in podcasts and audio engineering

We offer:
  • Part-time (>= 25h/week) or full-time (38.5h/week) employment, see IT Collective Agreement
  • Salary according to IT Collective Agreement, overpayment depending on your qualifications and experience
  • Work in our office in Graz, 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 to

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