Senior Deep Learning Engineer (m/f/d) - Audatic
At a glance
Senior Machine Learning Engineering role at Sonova. Berlin.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Train deep learning models for audio tasks, balancing output quality with efficient operation on embedded devices
- Test new network designs, loss functions, datasets and evaluation measures to improve model approaches
- Track current deep learning research and turn useful findings into project or research ideas
- Run automated hyperparameter searches on the GPU cluster using the team’s deep learning software
- Carry projects from initial concept to product delivery, and contribute guidance in technical discussions and code reviews
What you bring
- A technical bachelor’s or master’s degree plus five years of relevant work, or a doctorate plus two years
- Strong Python skills, with evidence that you write dependable, readable and maintainable code
- A record of deep learning publications or practical work solving real-world problems
- Professional fluency in English and a background in digital signal processing or working with audio
Who this fits
This senior role suits an engineer who can take deep learning work from research through product delivery and contribute to technical reviews. It is hybrid, with at least sixty percent of work on-site in Berlin.
From the employer
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)
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