About this role
<h1><strong><span style="font-size:14.0pt">More about the role</span> </strong></h1> <p> </p> <p>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!</p> <p> </p> <p>Your responsibilities will include:</p> <p> </p> <ul style="list-style-type:disc"> <li>Training state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms.</li> <li>Experimenting with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics.</li> <li>Staying up to date with the latest innovations in deep learning research</li> <li>Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack.</li> <li>Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses.</li> </ul> <p> </p> <h1><span style="font-size:14.0pt"><strong>More about you</strong></span></h1> <p> </p> <p>You have:</p> <p> </p> <ul style="list-style-type:disc"> <li>Bachelor’s or master’s degree in a technical field and at least 2 years of relevant experience</li> <li>Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code</li> <li>Dependable communication skills with full professional proficiency in English</li> <li>Experience with digital signal processing or audio processing is a plus</li> </ul> <p> </p> <h1><span style="font-size:14.0pt"><strong>More about what we offer</strong></span></h1> <p> </p> <p>At <strong>Audatic</strong>, you’ll 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.</p> <p> </p> <ul style="list-style-type:disc" type="disc"> <li>Competitive compensation package</li> <li>30 days of paid vacation</li> <li>Conference visits and the opportunity to publish relevant discoveries</li> <li>Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin</li> <li>Regular team events and a yearly retreat</li> <li>Company-sponsored public transport ticket (Deutschlandticket)</li> <li>Hybrid work model (at least 60% on-site)</li> </ul>