Data Scientist (Deep Learning) (m/f/d)

More 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. Your responsibilities will include: Developing and improving deep learning models for real-time speech enhancement on embedded device platforms. Designing and conducting experiments to evaluate novel neural network architectures, loss functions, datasets, and evaluation methods. Optimizing model performance through automated hyperparameter searches on our dedicated GPU cluster and custom deep learning infrastructure Following the latest innovations in deep learning research and collaborating with the team to learn, share ideas, and stay up to date through our journal club, brainstorming sessions, and online courses. More about you You have: 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 Note: Studies show that underrepresented talent groups in tech often apply to jobs only if they meet 100% of the qualifications. We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway! 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)