ML Software Engineering Manager Apple Music

Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. The work you do here has the potential to reach hundreds of millions of people and nowhere is that more true than Apple Music where technology and artistry meet to connect listeners with the music they Apple Music ML team is looking for an ML Software Engineering Manager to lead a team at the forefront of music recommendation and personalization. This is a rare opportunity to shape how tens of millions of people discover music every day working alongside world-class engineers researchers and product partners to build systems that are both technically ambitious and deeply human.

As an ML Software Engineering Manager on the Apple Music team you will lead a team of talented engineers responsible for designing building and shipping state-of-the-art music recommendation and personalization systems. You will own the technical direction of the team partner closely with Research and Product and ensure your engineers have the support clarity and growth opportunities they need to do the best work of their will collaborate regularly with Apple teams globally working across time zones to deliver cohesive high-quality experiences at scale.

Lead mentor and grow a team of ML software engineers fostering a culture of inclusion ownership and technical excellencenDefine and drive the technical vision for Apple Musics recommendation and personalization systems enabling fast model iteration at scalenArchitect and oversee the development of high-quality production-grade ML systems and personalization experiencesnPartner cross-functionally with Research Engineering and Product teams to align on requirements priorities and system designnCommunicate clearly with stakeholders on project status technical tradeoffs API design and system architecturenRecruit and develop top engineering talent maintaining Apples standard of excellence and commitment to diversity

3 years of experience managing software engineering teamsn5 years of experience building and shipping high-quality software productsnHands-on experience designing and shipping products in the recommendation systems spacenStrong computer science fundamentals and system design experiencenBachelors or Masters degree in Computer Science or a related field or equivalent practical experience

Deep understanding of modern recommendation system architectures and the tradeoffs involved in building them at scalenExperience with machine learning frameworks and familiarity with end-to-end ML model development lifecyclesnDemonstrated ability to translate complex technical tradeoffs for both technical and non-technical audiencesnExperience leading or collaborating with geographically distributed teams across time zonesnTrack record of attracting developing and retaining strong engineering talent in a competitive environmentnPassion for music and a curiosity about how technology can deepen the connection between people and the artists they love