Machine Learning Engineer- Apple Music
1 week ago
Weekly Hours: 40
Role Number: 200627683-3337
Summary
The AIML team in Apple Services Engineering is building the future of how millions of users discover, explore, and enjoy music across Apple Music, Siri, Spotlight. Our mission is to help every user find and experience the content they love—effortlessly and personally—by harnessing the potential of Machine Learning, Natural Language Understanding, and Generative AI. As part of the Music Search team, you’ll work at the intersection of machine learning, language understanding, and generative AI, crafting next-generation search and recommendation experiences. Your work will shape how users connect with the songs, artists, and playlists they love
Description
As Machine Engineer on the Music Search team within Apple Services Engineering (AIML), you will help shape the future of how millions of users discover and experience music across Apple platforms. You’ll design and deploy models that combine machine learning, natural language understanding, and generative AI to deliver more intuitive and personalized search experiences. You will build systems that understand user intent, rank results intelligently, and bring the magic of LLMs and transformer-based models into real-world applications. This is a hands-on role where your work will directly impact how users interact with Apple Music app, Siri, Spotlight, and other experiences across the Apple ecosystem.
Minimum Qualifications
-
2+ years of experience in machine learning, natural language processing, information retrieval, or LLM-based systems.
-
Strong programming skills in Python or C++, with experience building scalable ML systems.
-
Deep understanding of transformer architectures, embeddings, and retrieval or ranking models.
-
Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks.
-
Familiarity with prompt design, contextual retrieval, or RAG-style architectures.
-
Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience.
-
Excellent communication, collaboration, and analytical problem-solving skills.
Preferred Qualifications
-
Experience with music, media, or recommendation systems.
-
Background in semantic retrieval, vector databases, or hybrid search architectures.
-
Hands-on experience with PyT orch, JAX, or TensorFlow for model training and deployment.
-
Exposure to evaluation and safety frameworks for LLM-based systems.
-
Understanding of reinforcement learning from human feedback (RLHF) or preference modeling.
-
Passion for crafting intelligent, human-centered experiences that enhance music discovery.
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
-
Senior Machine Learning Engineer
3 days ago
Seattle, WA, United States Apple Full timeWeekly Hours: 40 Role Number: 200574806-3337 Summary Imagine what you could do here at Apple. Innovation runs through everything we do, from amazing technology to industry-leading environmental efforts, and the diversity of people and ideas makes it possible. Join Apple, and help us leave the world better than we found it. Our team is working toward a future...
-
Machine Learning Engineer
1 day ago
Seattle, WA, United States Apple Full timeRole Number: 200634443-3337 Summary Apple Services Engineering embodies Apple's deep commitment to uniting creativity with technology. Our team powers flagship services—including the App Store, Games, Apple Arcade, Apple TV, Apple Music, Apple Podcasts, and Apple Books—delivering world-class entertainment and experiences to users worldwide across a...
-
Machine Learning Engineer
5 days ago
Seattle, WA, United States Apple Full timeRole Number: 200634443-3337 Summary Apple Services Engineering embodies Apple's deep commitment to uniting creativity with technology. Our team powers flagship services—including the App Store, Games, Apple Arcade, Apple TV, Apple Music, Apple Podcasts, and Apple Books—delivering world-class entertainment and experiences to users worldwide across a...
-
Machine Learning Engineer
6 days ago
Seattle, WA, United States Apple Full timeRole Number: 200634443-3337 Summary Apple Services Engineering embodies Apple's deep commitment to uniting creativity with technology. Our team powers flagship services—including the App Store, Games, Apple Arcade, Apple TV, Apple Music, Apple Podcasts, and Apple Books—delivering world-class entertainment and experiences to users worldwide across a...
-
Machine Learning Engineer
3 days ago
Seattle, WA, United States Apple Full timeRole Number: 200634443-3337 Summary Apple Services Engineering embodies Apple's deep commitment to uniting creativity with technology. Our team powers flagship services—including the App Store, Games, Apple Arcade, Apple TV, Apple Music, Apple Podcasts, and Apple Books—delivering world-class entertainment and experiences to users worldwide across a...
-
Seattle, WA, United States Apple Full timeRole Number: 200626168-3337 Summary Do you want to make Apple products more intelligent for our users? The AIML Information Intelligence teams are building groundbreaking technology for algorithmic search and recommendation, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of...
-
Seattle, WA, United States Apple Full timeRole Number: 200626168-3337 Summary Do you want to make Apple products more intelligent for our users? The AIML Information Intelligence teams are building groundbreaking technology for algorithmic search and recommendation, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of...
-
Seattle, WA, United States Apple Full timeRole Number: 200605291-3337 Summary Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and...
-
Seattle, WA, United States Apple Full timeRole Number: 200605291-3337 Summary Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and...
-
Software Engineer, Core Services
4 days ago
Seattle, WA, United States Apple Full timeWeekly Hours: 40 Role Number: 200631834-3337 Summary The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple’s high...
