ML Software Engineering Manager - Apple Music

Apple Apple · Big Tech · Cupertino, CA +1 · Machine Learning and AI

ML Software Engineering Manager for Apple Music, leading a team to build and ship music recommendation and personalization systems. Requires experience managing ML teams and shipping recommendation products.

What you'd actually do

  1. Lead, mentor, and grow a team of ML software engineers, fostering a culture of inclusion, ownership, and technical excellence
  2. Define and drive the technical vision for Apple Music's recommendation and personalization systems, enabling fast model iteration at scale
  3. Architect and oversee the development of high-quality, production-grade ML systems and personalization experiences
  4. Partner cross-functionally with Research, Engineering, and Product teams to align on requirements, priorities, and system design
  5. Communicate clearly with stakeholders on project status, technical tradeoffs, API design, and system architecture

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • shipping state-of-the-art music recommendation and personalization systems
  • shipping products in the recommendation systems space
  • modern recommendation system architectures
  • end-to-end ML model development lifecycles

Other signals

  • leading a team of ML software engineers
  • designing, building, and shipping state-of-the-art music recommendation and personalization systems
  • own the technical direction of the team
  • partner closely with Research and Product
  • ensure your engineers have the support, clarity, and growth opportunities they need
  • collaborate regularly with Apple teams globally
  • working across time zones to deliver cohesive, high-quality experiences at scale
  • Define and drive the technical vision for Apple Music's recommendation and personalization systems
  • enabling fast model iteration at scale
  • Architect and oversee the development of high-quality, production-grade ML systems and personalization experiences
  • Partner cross-functionally with Research, Engineering, and Product teams to align on requirements, priorities, and system design
  • Communicate clearly with stakeholders on project status, technical tradeoffs, API design, and system architecture
  • Recruit and develop top engineering talent
  • Hands-on experience designing and shipping products in the recommendation systems space
  • 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