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 fieldAt least 2 years of relevant experienceStrong proficiency in Python with a demonstrated ability to write robust clean and maintainable codeDependable communication skills with full professional proficiency in EnglishExperience with digital signal processing or audio processing is a plusMore 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 package30 days of paid vacationConference visits and the opportunity to publish relevant discoveriesFree daily meals drinks and snacks at our green and modern office in the heart of BerlinRegular team events and a yearly retreatCompany-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