Data Engineer for Audio ML Research

About Us

For over 25 years, Native Instruments has been at the forefront of sonic innovation. Guided by our mission to inspire and enable creators to express themselves, we develop integrated audio hardware and software solutions for musicians, producers, engineers, and DJs of all genres and levels of experience.

Native Instruments embraces diversity and a respect for all people. We are proud to be an equal opportunity employer and we believe the foundation of our dynamic and pioneering spirit starts with a fair and inclusive culture. At Native Instruments we value teamwork and passion, delivering inspiring experiences, continuously innovating and empowering our communities, while also serving our planet.

All applicants will receive equal consideration for employment at Native Instruments and we encourage everyone to apply – regardless of gender identity, race, color, religion, sex, sexual orientation, national origin, genetics, disability, age, or any other characteristic protected by law.

Help us reach our goal in making the future of music diverse, inclusive and exciting! We encourage you to submit your application without the requirement for a photograph, identifying factors or personal status information.

About The Team

You will join the Research team, partnering closely with Product, Design, and Engineering teams across Native Instruments brands. As our Data Engineer, you will build and operate the pipelines and datasets that make high-quality audio and symbolic audio available for experimentation and shipped products, while keeping data secure and compliant. The role is based in our Madrid hub, collaborating daily with colleagues in Boston, Berlin, and London.

Your Contribution

As the engineering owner of our research datasets, you will transform raw data into the foundation for our most innovative AI-powered features, directly increasing the creative capacity of our Research Engineers.

• Own Data Governance : Design and implement clear schemas, access controls, and governance to keep our audio data secure, compliant, and discoverable.
• Build the Foundation : Design and run scalable data pipelines on AWS to ingest vast internal audio libraries and generate novel training data by programmatically controlling our virtual instruments and effects.
• Shape the Sound : Actively curate and shape the sonic character of our datasets through expert processing, augmentation, and quality validation, directly influencing the output of our ML models.
• Enable Reproducibility : Publish versioned, documented, and traceable datasets to empower reproducible research and improve team efficiency with self-serve tools and robust monitoring.
• Connect to Customers : Develop pipelines that translate anonymized product telemetry into actionable insights on how our models perform in the wild.

Our Ideal Candidate

We are looking for a candidate who combines a rigorous data engineering background with a genuine passion for the nuances of musical audio. You understand that data quality is paramount and are eager to build datasets for creative AI.

Our Benefits