Senior Deep Learning Engineer developing novel deep learning algorithms for audio processing. Contributing to end-to-end deep learning projects and collaborating within a supportive team.
Responsibilities
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.
Requirements
A 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
Benefits
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)
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