Data Engineer • Mid-Level

Who you are

You have a deep understanding of music theory, composition, and instrumentation — your expertise allows you to evaluate music datasets from a musicological perspective. You are skilled in using Python and specialized music libraries like librosa to analyze musical characteristics and ensure data quality. Your passion for music drives you to maintain high standards for musical authenticity in AI-powered music creation tools.

You have experience working closely with content, data, and machine learning engineers — your collaborative nature helps you identify gaps in dataset representation and validate the musical accuracy of training data. You understand the importance of diverse musical styles and genres, and you are committed to ensuring that datasets represent this diversity authentically.

What you'll do

As a Music Data Engineer, you will apply your music theory and production knowledge to evaluate and curate datasets for machine learning models. You will analyze and evaluate musical characteristics to ensure datasets meet the high standards required for professional music creation applications. Your role will involve building evaluation frameworks that assess dataset quality and identifying musical biases or gaps.

You will collaborate with a team of engineers to ensure that the datasets used in training models are accurate and representative of various musical styles. Your work will directly impact the quality of Apple's music creation tools, helping to shape the future of music technology. You will also be responsible for maintaining documentation and communicating findings to stakeholders.

What we offer

At Apple, you will be part of a team that values creativity and innovation. We encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on cutting-edge technology that impacts how music is created and experienced. Join us in our mission to enhance the musical experience for users around the world.