Deep Learning Engineer

Beschreibung

Job Zusammenfassung In diesem Job entwickelst du innovative Deep Learning Algorithmen für die Audioverarbeitung, trainierst Modelle und experimentierst mit neuen Architekturen sowie Hyperparameter-Optimierungen auf unserer GPU-Plattform. Job Zusammenfassung In diesem Job entwickelst du innovative Deep Learning Algorithmen für die Audioverarbeitung, trainierst Modelle und experimentierst mit neuen Architekturen sowie Hyperparameter-Optimierungen auf unserer GPU-Plattform. Deine Rolle im Team 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! Your responsibilities will include: Training state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms. Experimenting with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics. Staying up to date with the latest innovations in deep learning research. Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack. Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses. Unsere Erwartungen an dich Ausbildung Bachelor's or master's degree in a technical field and at least 2 years of relevant experience. Qualifikationen You have: Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code. Dependable communication skills with full professional proficiency in English. Erfahrung Experience with digital signal processing or audio processing is a plus. Unser Angebot 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). Benefits Gesundheit, Fitness & Fun 🎳 Team Events Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Gesundheitswesen, Soziales Ort: Berlin | Deutschland

Tech Stack