Deep Learning Engineer (m/w/d)




Job Description

Deep Learning Engineer

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. With this, we enable millions of people with hearing loss to enjoy interactions in social settings like bars or restaurants.

Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop and test novel algorithmic architectures for customizable sound environments, we have a fantastic job opportunity for you!

Responsibilities include:

  • Design, implementation, and evaluation of models and software prototypes
  • Creating and improving deep learning architectures and corresponding software stack (visualization, neural network infrastructure)
  • Engaging in team collaboration to meet joint research goals

Minimum qualifications:

  • Bachelor’s or Master’s Degree in a technical field from a top-tier university
  • Proven track record of solving challenging engineering problems
  • Ability to write clean and well-documented Python code
  • Dependable communication skills with full professional proficiency in English

Preferred qualifications:

  • At least 2 years of experience in Deep Learning
  • Experience working with NumPy, Pandas, and/or audio processing
  • Knowledge of Linux/Ubuntu and automation tools
  • Passion for deep learning and medical technology

In addition to a competitive salary and bonus package, you can expect the following:

  • Support for professional development and further learning
  • A comfortable budget for your personalized equipment setup
  • Company-sponsored team events and retreats
  • Company-sponsored BVG ticket
  • Free meals, drinks, and snacks
  • 30 days of paid vacation
  • Diverse team of international talent
  • Open, friendly, and collaborative company culture
  • Green, modern office in the heart of Berlin
Audatic GmbH
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