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Senior Deep Learning Engineer (mfd)

More About the Role

Berlin

Hybrid

EUR 70.000 - 90.000

Vollzeit

Vor 12 Tagen

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Zusammenfassung

A leading company in audio processing is looking for a Deep Learning Engineer to innovate and develop novel algorithms for audio processing. You will train cutting-edge deep learning models and conduct innovative research. Ideal candidates hold a technical degree and possess significant experience in deep learning, Python programming, and digital signal processing. The position offers a competitive compensation package and a hybrid work model with flexible working conditions in Berlin.

Leistungen

Competitive compensation package
30 days of paid vacation
Conference visits
Free daily meals and snacks
Regular team events
Company-sponsored public transport ticket
Hybrid work model

Qualifikationen

  • 5+ years of relevant experience or a Ph.D. with at least 2 years of relevant experience.
  • Demonstrated ability to write robust, clean, and maintainable code.
  • Proven track record of publications or solving real-world problems.

Aufgaben

  • Training deep learning models for optimal quality on embedded devices.
  • Exploring novel approaches in deep learning research.
  • Conducting automated hyper-parameter optimizations on GPU clusters.

Kenntnisse

Python
Deep Learning
Digital Signal Processing
C / C++
Research Experience
Laboratory Experience

Ausbildung

Bachelor's or Master's degree in a technical field
Ph.D. in the field
Jobbeschreibung
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
  • A bachelors or masters 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
More 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.

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)
Required Experience

Senior IC

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

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