Music Data Specialist
Apple
Job Overview
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Job Description
Job Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming great products very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish as a Music Data Specialist.
Role Overview
The Music Creation Apps team seeks a specialist to blend deep musical expertise with machine learning. Your role involves evaluating music datasets through a musicological lens, ensuring data quality, and validating musical accuracy.
Key Responsibilities
- Analyze and evaluate music datasets for quality and genre diversity.
- Use Python and libraries like librosa for music analysis.
- Create and curate datasets via recording sessions and synthetic data.
- Develop data curation strategies with engineering teams.
- Design evaluation frameworks and assess model outputs musically.
- Document musical metadata and quality standards.
- Communicate musical requirements to ML researchers and engineers.
Minimum Qualifications
- Bachelor’s degree or equivalent experience in Audio Production, Musicology, or related field.
- Proficiency in Python and data analysis libraries such as pandas.
- Understanding of machine learning and audio signal processing fundamentals.
- Advanced music theory knowledge applicable to diverse genres.
Preferred Qualifications
- Experience with music analysis libraries like librosa or music21.
- Familiarity with large-scale music datasets and music information retrieval.
- Expertise in music creation tools such as Logic Pro.
- Strong attention to detail and data accuracy.
- Excellent communication skills in English.
Key skills/competency
Music Theory, Python, Data Analysis, Librosa, ML Evaluation, Dataset Curation, Musicology, Audio Processing, Data Visualization, Quality Assurance
How to Get Hired at Apple
- Research Apple's culture: Study Apple's mission, values, and news.
- Customize your resume: Highlight musical and technical skills.
- Prepare technical examples: Demonstrate Python and data analysis projects.
- Practice interview insights: Review music theory and ML integration.
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