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# Senior Deep Learning Engineer

- **Company:** Sonova Group
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Neural Networks, Audio Signal Processing, Code Review, Python (Programming Language), Deep Learning
- **Published:** July 16, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=6f4c9fe2e4df4762

## About the Role

* Bachelor's or master's degree in a technical field and at least 5 years of relevant experience or a Ph.D. in the field and at least 2 years of relevant experience
 * Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code
 * Proven track record of publications or solving real-world problems with deep learning
 * Dependable communication skills with full professional proficiency in English
 * Experience with digital signal processing or audio processing

## Description

Senior Deep Learning Engineer (m/f/d) - Audatic
More about the role
Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop novel deep learning algorithms for audio processing, we have a fantastic job opportunity for you!
Your responsibilities will include:

 * Training state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms.
 * Experimenting with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics.
 * Staying up to date with the latest innovations in deep learning research and identify new ideas for our project work and research initiatives.
 * Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack.
 * Taking end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews.
 * Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses.


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