Apple Music - Machine Learning Engineer (Personalized Stations and Mixes)

The Music ML team at Apple Services Engineering is seeking a talented Software Engineer to join their personalization and recommendations team for Apple Music. This role offers an exciting opportunity to shape how millions of users discover and enjoy music through personalized features including Home, Radio, and Personal Mixes.

As part of this dynamic team, you'll be working on building and maintaining ML-backed high-throughput online services, conducting online experimentation and data analysis, and developing large-scale offline big data pipelines. The position combines technical expertise with a passion for music, focusing on connecting artists with music lovers while maintaining strong privacy standards.

The role involves collaboration with a diverse, international team of professionals from over 10 countries, working within Apple's unique integrated ecosystem of hardware, software, and services. Despite being part of Apple's growing services business, the team maintains a small, agile, and cross-functional structure, providing excellent opportunities for growth and collaboration.

Key responsibilities include developing complex personalization systems, implementing real-time recommendation services, and working closely with ML researchers to bring new features from concept to production. You'll be involved in the full product lifecycle, from initial design through implementation and continuous optimization.

The ideal candidate will bring strong technical skills in machine learning and software engineering, combined with a collaborative mindset and passion for creating exceptional user experiences. This position offers competitive compensation, comprehensive benefits, and the opportunity to work on products that impact millions of users globally while maintaining Apple's high standards for privacy and quality.

Join us in shaping the future of music discovery and personalization at one of the world's most innovative technology companies, where new ideas quickly transform into impactful products used by millions of people worldwide.