Job 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. 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 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

Requirements

Must-haves

You will collaborate regularly with Apple teams globally, working across time zones to deliver cohesive, high-quality experiences at scale.
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
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlmachine learning

Platform: apple
Effort: medium