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

Note: We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway!

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)