Music Data Engineer

Stellenbeschreibung:

As a Music Data Specialist for Music Creation Apps you’ll apply your music theory and production knowledge to evaluate and curate datasets to train machine learning models. You’ll provide the musical expertise needed to assess dataset quality, identify musical biases or gaps, and validate that our training data represents diverse musical styles and genres authentically. Using Python and music analysis libraries like librosa, you’ll analyze and evaluate musical characteristics to ensure our datasets meet the high standards required for professional music creation applications. You’ll also contribute to building evaluation frameworks that assess model outputs from a musical perspective, helping bridge the gap between technical ML metrics and real‑world musical quality.

Bachelor’s degree (or higher) in Audio Production, Musicology, Music Technology or related field or 3 years of equivalent professional work experience
Experience with Python programming and data analysis using pandas or similar libraries
Understanding of machine learning concepts and audio signal processing fundamentals
Advanced knowledge of music theory, harmony, composition and instrumentation across multiple genres
Familiarity with music analysis libraries such as librosa or music21
Experience analyzing large music datasets or music information retrieval research
Experience curating large‑scale multi‑language music datasets for LLM fine‑tuning and model adaptation workflows
Expert in music creation tools such as Logic Pro
Experience working on music research or data‑driven music projects
Experience with data visualization for music analysis or dataset exploration
Knowledge of ML model evaluation methodologies and quality metrics
Strong attention to detail and commitment to data accuracy and quality
Fluent in English