AI Engineer (mwd)

Steinberg Media Technologies; Hamburg; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading audio technology company in Hamburg seeks an experienced professional in machine learning and audio technology. You will independently drive the development of AI models, enhance server-side logic, and ensure robust data management in a hybrid working environment. Ideal candidates hold a master's or PhD in relevant fields, possess deep knowledge of machine learning algorithms, and have experience with MLOps principles. Join us to shape the future of audio technology.

Leistungen

Hybrid working

Flexible working hours

Training opportunities

Public transport connections

Health insurance

Employee discounts

Private use of music studios

Qualifikationen

• Master's degree or PhD with experience in machine learning.
• Strong knowledge of music or AI in the audio field.
• Good theoretical and practical knowledge of ML.

Aufgaben

• Organize and carry out conceptualization, development, and programming work.
• Implement server-side logic in back-end and front-end development.
• Manage databases and ensure high performance.

Kenntnisse

Machine learning algorithms

PyTorch

Kubernetes

Docker

MLOps concepts

Musicology

English

Ausbildung

Master's degree in applied or technical computer science

PhD in machine learning or related topics

Tools

PyTorch ONNX Runtime

Virtualization technologies

Jobbeschreibung

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 worlds 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.

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

• Masters 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