at Apple
Location
Cupertino, United States of America
Compensation
$206k–$356k USD
Type
full time
Posted
6 days ago
Market range · company + function + seniority
p25 · target · p75 · n=48
Posted $356k · in the market band
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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.
Lead, mentor, and grow a team of ML software engineers, fostering a culture of inclusion, ownership, and technical excellence
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, maintaining Apple's standard of excellence and commitment to diversity
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
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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