Deep Learning Engineer (m/f/d)

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.


• Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack.


• Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses.

More About You

• A bachelor’s or master’s degree in a technical field.


• At least 2 years of relevant experience.


• Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code.


• Dependable communication skills with full professional proficiency in English.


• Experience with digital signal processing or audio processing is a plus.

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).

Equal Opportunity Employer

Sonova is an equal opportunity employer. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Medical Equipment Manufacturing

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