BS/MS in Computer Science, Data Engineering, Machine Learning, or other related discipline or equivalent professional experience in software/data engineering.
Strong software development skills with Python, C++ or Swift.
Experience in developing audio manipulation and processing pipelines.
Expertise in data quality evaluation and developing visualisations and tooling.
Fluent in English.
Experience with cloud computing platforms (e.g., AWS, GCP).
Experience in managing and maintaining large datasets and working with complex audio or musical data.
Familiar with developing machine learning models for audio analysis or processing.
Familiar with version control systems such as Git.
Passion for music and audio technologies, recording or producing music or playing an instrument is a big plus.