Sonova Group

Senior Deep Learning Engineer

Sonova Group

full-time

Posted on:

Location Type: Hybrid

Location: BerlinGermany

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Job Level

Tech Stack

About the role

  • 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)
  • Hybrid work model (at least 60% on-site)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
deep learningneural network architecturesloss functionsdatasetsevaluation metricshyper-parameter optimizationPythondigital signal processingaudio processing
Soft skills
dependable communicationtechnical guidancecode reviews