About us

Are you ready to embrace new challenges? Do you have what it takes to contribute to developing and promoting the tools used by the world’s top musicians, composers, and sound designers? From seasoned professionals to millions who make music purely for the joy of it, Steinberg gives creatives the very best applications to help them through a lifetime of music and sound production.
 
To strengthen our Software Development team, we are looking to recruit a AI Engineer (m/f/d). Would you be an asset to both our company and brands that stand for the ultimate in quality, flexibility, and great service? If so, convince us with your application. 
​

Your mission

• Independently organizing and carrying out conceptualization, development, and programming work, and coordinating your own actions in terms of timing, content, and technical aspects
• Test-driven, object-oriented design, implementation, and integration of engine components, taking into account architectural specifications to improve code quality
• Independently acquiring knowledge and applying new technologies and tools for handling large data sets, ensuring data quality, and implementing data pipelines
• Actively participating in the development of AI models, including the selection of suitable algorithms, design, training, and fine-tuning of hyperparameters
• Implementation of server-side logic, both in back-end and front-end development
• Management of databases and ensuring high performance and responsiveness
• Setting up and operating a container-based infrastructure for the development, training, and testing of AI models according to modern MLOps principles

Your profile

• Master's degree in applied or technical computer science, computer science, electrical engineering, or a comparable field of study with several years of professional experience or a doctorate (PhD) with a focus on machine learning (ML) or related topics
• In-depth knowledge of machine learning algorithms 
• Strong knowledge of the current state of the art in music and/or AI in the audio field
• In-depth understanding of ML training frameworks (PyTorch) and inference engines (PyTorch, ONNX Runtime)
• Knowledge of container and virtualization technologies (Kubernetes, Docker)
• Experience with MLOps concepts (e.g., reproducible training pipelines, automated deployment, and model monitoring)
• Expertise in musicology and/or music theory and/or sound engineering
• Good theoretical and practical knowledge of ML and neural networks
• Good written and spoken English skills 

Our Benefits

• Hybrid working – mobile or in the Hamburg office
• Trust-based working hours with flexible working times
• A wide range of training opportunities for your development
• Excellent public transport connections and a fully funded HVV/Deutschlandticket
• Additional health insurance package after the probationary period
• Capital-forming benefits
• Attractive employee discounts on Steinberg software products
• Private use of the music studios at the Hamburg headquarters

Contact

We are convinced that together we can achieve a lot. Help us shape the future – we look forward to receiving your online application, including your salary expectations and your earliest possible start date.

If you have any questions, please do not hesitate to contact us. We look forward to hearing from you.

Steinberg Media Technologies GmbH
Human Resources
Beim Strohhause 31
20097 Hamburg
Phone: +49 40 210 35 – 0
Email: jobs@steinberg.de