Machine Learning Engineer- Apple Music
About The Position
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 loveAs 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.
Nice To Haves
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
