Senior Deep Learning Engineer

Sonova Group
Berlin, Germany
2 months ago
Apply on de.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Clean Code Principles Artificial Neural Networks Audio Signal Processing Code Review Python (Programming Language) Deep Learning

Job description

Senior Deep Learning Engineer (m/f/d) - Audatic 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.

Requirements

  • 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 & conditions

  • 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)

Audatic is an equal opportunity employer.

About the company

At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state-of-the-art deep learning technology. Our mission is to empower millions of people with hearing loss to enjoy interactions in demanding social settings like bars or restaurants.

As a part of the Sonova Group, our team developed the speech enhancement neural network for the Phonak Infinio Sphere - the world’s first hearing aid to run a deep neural network (DNN) for real-time speech enhancement on a custom-built, low-power, embedded neural accelerator. Since then, numerous clinical studies and extensive market feedback have confirmed the significant, life-changing benefits of this breakthrough technology.

As a small, supportive team within a global leader, we pair startup agility with Sonova’s scale, audiological expertise, and world-class resources. Everyone here has the chance to shape how we work, contribute their ideas and have a direct impact on the products we deliver - creating technology that can transform lives.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on de.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · World Congress 2026 Europe

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

1:42 min

Aligning testable code with clean code principles

Annelore Egger Annelore Egger · World Congress 2025

2:15 min

Navigating a collaborative career with profound hearing loss

Florian Margaine Florian Margaine · Europe 2026 Virtual

4:05 min

Software craftsmanship manifesto and clean code principles

Marco Achtziger Marco Achtziger · Europe 2026 Virtual

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all