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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.
Responsibilities
- Build and improve 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.
- Create tools and analyses to validate realistic spatial audio scenes and understand how spatial training data affects model behavior in complex everyday acoustic environments.
- Work closely with Audatic’s deep learning engineers to keep training data diverse, physically plausible, perceptually meaningful, and aligned with our DNN models.
- Contribute 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.
Requirements
- 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.
Skills
- Spatial audio
- Ambisonics
- HRTFs
- Room simulation
- Binaural rendering
- Spatialization techniques
- Room-acoustic measures
- RT60
- DRR
- Early reflections
- Late reverberation
- Clarity
- Diffuseness
- Audio digital signal processing (DSP)
- Spatial perception
- ITD
- ILD
- Interaural coherence
- Localization
- Externalization
- Perceptual metrics
- Python
- Deep learning concepts
- DNN training data pipelines
- Deep learning models
Location
- Berlin
Work Type
- Hybrid
Experience Level
- At least 5 years of relevant experience (with Bachelor's/Master's)
- At least 2 years of relevant experience (with Ph.D.)
Education Level
- Bachelor's degree in a technical field
- Master's degree in a technical field
- Ph.D. in audio processing
Benefits
- Competitive compensation package
- 30 days of paid vacation
- Conference visits
- Opportunity to publish relevant discoveries
- Free daily meals, drinks, and snacks
- Regular team events
- Yearly retreat
- Company-sponsored public transport ticket (Deutschlandticket)
About the Company
- 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.