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Software Engineer at Audatic GmbH (Berlin, Germany)

Software 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.

To bring our vision to life, we require efficient custom-tailored software infrastructure that empowers our deep learning networks to train on our GPU cluster and allows us to visualize results quickly and easily. If this sounds exciting to you, and you are looking to immerse yourself in cutting-edge technology, we have the perfect job for you!

Responsibilities include:

  • Designing, implementing and testing software for our deep learning infrastructure
  • Close team interaction to meet joint goals
  • Reporting and presenting your work in a clear and compelling way

Minimum qualifications:

  • Ability to write clean and well-documented Python code
  • BSc/MSc in a technical field from a top-tier university
  • Good academic record
  • Experience working with PostgreSQL, MongoDB and other querying languages
  • Dependable communication skills with full professional proficiency in English

Preferred qualifications:

  • Experience using Docker
  • Knowledge of Linux/Ubuntu and automation tools
  • Experience working on web microservices 
  • Passion for deep learning and/or medical technology
  • Experience with deep learning for audio processing

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
  • 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

We are an equal-opportunity employer and value diversity. Committed to inclusive growth, we consider all applications equally, regardless of race, ethnicity, religion, citizenship, national origin, sex, gender identity, sexual orientation, age, marital status, or disability. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. We can provide immigration support if needed and look forward to your application.

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