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ML Software Engineering Manager - Music
Job in
Cupertino, Santa Clara County, California, 95015, USA
Listed on 2026-10-31
Listing for:
Apple
Full Time
position Listed on 2026-10-31
Job specializations:
-
Software Development
Software Architect, Software Engineer, Software Project Mgr/ Lead, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Role Number:
Team:
Machine Learning and AI, Software and Services
Location:
Cupertino Weekly
Hours:
40
Posted:
Summary 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 imum Qualifications3+ years of experience managing software engineering teams5+ 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 life cycles
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
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements…
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