Music Data Engineer

Requirements

• 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

Nice to Haves

• 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 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

What You'll Be Doing

• Applying music theory and production knowledge to evaluate and curate datasets for machine learning models
• Providing musical expertise to assess dataset quality and ensure diverse musical styles are represented authentically
• Using Python and music analysis libraries to analyze musical characteristics and evaluate dataset quality
• Contributing to building evaluation frameworks to assess model outputs from a musical perspective