<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About us</strong></p><p><br/></p><p>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. Our mission is to empower millions of people with hearing loss to enjoy interactions in demanding social settings like bars or restaurants.</p><p><br/></p><p>As a part of the Sonova Group, our team developed the speech enhancement neural network for the Phonak Infinio Sphere - the world’s first hearing aid to run a deep neural network (DNN) for real-time speech enhancement on a custom-built, low-power, embedded neural accelerator. Since then, numerous clinical studies and extensive market feedback have confirmed the significant, life-changing benefits of this breakthrough technology.</p><p><br/></p><p>Audatic is a small, supportive team that values collaboration and openness. We pair startup agility with Sonova’s scale, audiological expertise, and world-class resources. Everyone here has the chance to shape how we work, contribute their ideas and have a direct impact on the products we deliver - creating technology that can transform lives.</p><p><br/></p><p><em>Please note that the role outlined below is an </em><strong><em>on-site</em></strong><em> opportunity with a hybrid setup requiring at least 60% office attendance. Fully remote work is not possible. You should ideally be located in Berlin or close enough for an easy commute, or be open to relocating.</em></p><p><br/></p><p><strong>More about the role</strong></p><p><br/></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>Your responsibilities will include:</p><ul><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><br/></p><p><strong>More about you</strong></p><p><br/></p><p>You have:</p><ul><li>Bachelor’s or master’s degree in a technical field</li><li>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><br/></p><p><strong>More about what we offer</strong></p><p><br/></p><p>At Audatic, 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><ul><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><p><br/></p><p>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.</p><p>We look forward to your application!</p> </div>