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

Responsibilities

• Train state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms.
• Experiment with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics.
• Stay up to date with the latest innovations in deep learning research and identify new ideas for our project work and research initiatives.
• Develop and conduct automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack.
• Take end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews.
• Contribute to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses.

Qualifications

At least some, ideally all of the following:

• A bachelor’s or master’s degree in a technical field and at least 3 years of experience in deep learning or Ph.D. in the field
• Proven track record of publications or solving real-world problems with deep learning
• Ability to write clean and well-documented Python code following best software engineering practices
• Dependable communication skills with full professional proficiency in English
• Experience with digital signal processing or audio processing is a plus

Benefits

In addition to a competitive compensation package, you can expect the following:

• Diverse team of international talent and an open, friendly, and collaborative company culture
• Conference visits and the opportunity to publish relevant discoveries
• Green, modern office in the heart of Berlin
• Company-sponsored team events and retreats
• Free daily meals, drinks, and snacks
• 30 days of paid vacation
• Company-sponsored BVG ticket
• Hybrid work policy with at least 60% on-site presence.

We look forward to your application!