About the role

What will you do at Apple?

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 love. The 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.

DESCRIPTION

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 careers. You will collaborate regularly

with Apple teams globally, working across time zones to deliver cohesive,

high-quality experiences at scale.

MINIMUM QUALIFICATIONS

3+ years of experience managing software engineering teams 5+ years of

experience building and shipping high-quality software products Hands-on

experience designing and shipping products in the recommendation systems space

Strong computer science fundamentals and system design experience Bachelor's or

Master's degree in Computer Science or a related field, or equivalent practical

experience

PREFERRED QUALIFICATIONS

Deep understanding of modern recommendation system architectures and the

tradeoffs involved in building them at scale Experience with machine learning

frameworks and familiarity with end-to-end ML model development lifecycles

Demonstrated ability to translate complex technical tradeoffs for both technical

and non-technical audiences Experience leading or collaborating with

geographically distributed teams across time zones Track record of attracting,

developing, and retaining strong engineering talent in a competitive environment

Passion for music and a curiosity about how technology can deepen the connection

between people and the artists they love

Which skills does this role require?

Engineering ManagementRecommendation SystemsSystem DesignSoftware DevelopmentPersonalization SystemsTechnical LeadershipCross-functional CollaborationTalent DevelopmentPersonalizationML FrameworksSoftware EngineeringApple MusicComputer ScienceScalabilityML Lifecycle

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