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# ML Software Engineering Manager

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $206,200.0
- **Contract:** Permanent contract
- **Skills:** Recommender Systems, Tensorflow, Software Engineering, Systems Architecture, Information Technology, Machine Learning Operations, Api Design
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/apple/ml-software-engineering-manager-apple-music-4a72d0

## About the Role

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

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

## 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., 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


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