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.

More about you

You have:

• 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

More about what we offer

At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.

• Competitive compensation package
• 30 days of paid vacation
• Conference visits and the opportunity to publish relevant discoveries
• Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin
• Regular team events and a yearly retreat
• Company-sponsored public transport ticket (Deutschlandticket)
• Hybrid work model (at least 60% on-site)