About this role
More about the role We are looking for a Spatial Audio Engineer to help develop our next-generation, DNN-based hearing-aid algorithms. In this role, you will create realistic spatial simulations to understand and shape how our models behave in challenging everyday acoustic scenes, with direct impact on hearing-aid users. Your responsibilities will include:
• Building and improving high-fidelity spatial audio pipelines for DNN training and evaluation, covering simulated room acoustics, multichannel rendering, spatial audio, audio signal processing, data engineering, and deep learning. • Creating tools and analyses to validate realistic spatial audio scenes and understand how spatial training data affects model behavior in complex everyday acoustic environments, • Working closely with Audatic’s deep learning engineers to keep training data diverse, physically plausible, perceptually meaningful, and aligned with our DNN models. • Contributing to hearing-aid algorithms that use subtle spatial cues from multiple microphones to separate speech from noise, preserve acoustic-scene awareness, and improve communication in demanding real-world environments. More about you
• A bachelor’s or master’s degree in a technical field and at least 5 years of relevant experience or a Ph.D. in the field of audio processing and at least 2 years of relevant experience. • Expertise in spatial audio, such as ambisonics, HRTFs, room simulation, binaural rendering, or other spatialization techniques. • Practical knowledge of room-acoustic measures such as RT60, DRR, early reflections, late reverberation, clarity, and diffuseness, and how to use them to validate simulated environments. • Strong foundations in audio digital signal processing (DSP). • Experience in spatial perception, including cues and concepts such as ITD, ILD, interaural coherence, localization, externalization, or related perceptual metrics. • Strong Python proficiency and a demonstrated ability to write robust, clean, maintainable code. • Familiarity with deep learning concepts, including training data, targets, loss functions, model evaluation, and how data quality affects model behavior. • Experience developing DNN training data pipelines or working directly with deep learning models is a strong plus. • Dependable communication skills with full professional proficiency in English. More about what we offer 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.
• Competitive compensation package • 30 days of paid vacation • Conference visits and the opportunity to publish relevant discoveries • Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin • Regular team events and a yearly retreat • Company-sponsored public transport ticket (Deutschlandticket) • Hybrid work model (at least 60% on-site)