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About the Role
As a Data Scientist at Audatic, you will transform cutting-edge research into technology that solves challenging audio problems and improves the lives of hearing aid users.
Responsibilities
- Develop and improve deep learning models for real-time speech enhancement on embedded device platforms.
- Design and conduct experiments to evaluate novel neural network architectures, loss functions, datasets, and evaluation methods.
- Optimize model performance through automated hyperparameter searches on our dedicated GPU cluster and custom deep learning infrastructure.
- Follow the latest innovations in deep learning research and collaborate with the team to learn, share ideas, and stay up to date through journal club, brainstorming sessions, and online courses.
Requirements
- Bachelor’s or Master’s degree in a technical field
- At least 2 years of relevant experience
- Comfortable using Python to build solutions that are readable, maintainable, and easy to build upon
- Curious mindset with a desire to continuously learn, explore new ideas, and share knowledge
- Dependable communication skills with full professional proficiency in English
- Experience with digital signal processing or audio processing is a plus
Skills
- Python
- Deep learning
- Digital signal processing
- Audio processing
Location
- Berlin
Work Type
- Hybrid
Experience Level
- 2+ years
Education Level
- Bachelor's degree
- Master's degree
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
- Audatic is a company with 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.
Equal Opportunity
- We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway!