Deep Learning Engineer (mfd)

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

You have:

• A bachelors or masters 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 youll 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)

Key Skills

Laboratory Experience,Vendor Management,Design Controls,C / C++,FDA Regulations,Intellectual Property Law,ISO 13485,Research Experience,SolidWorks,Research & Development,Internet Of Things,Product Development

Employment Type

Full Time

Experience

years

Vacancy

1