Apple-posted 2 months ago
Full-time • Mid Level
Cupertino, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

The Apple Services Engineering AI/ML organization is looking for a Machine Learning Engineer to help build next-generation media discovery experiences for Apple's groundbreaking devices and platforms, leveraging Artificial Intelligence & Machine Learning at scale. Wonder how Apple's Media Products show relevant and rich Discovery experiences covering search, browse and recommendations for Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design and develop AI/ML driven Discovery features for billions of Apple users worldwide! Propose, prototype and evaluate algorithm improvements that power these rich experiences. Evangelize and build reusable AI capabilities to enhance the foundation of how these user-facing features are built in the larger organization. The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple's long-held passion for combining art with technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple's high expectations with high performance, to deliver a huge variety of entertainment in over 40 languages to more than 170 countries. Our scientists and engineers build secure, end-to-end solutions powered by Artificial Intelligence & Machine Learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists, and engineers in ASE partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. This is a team with strong expertise in Information Retrieval, Machine Learning, Language Modeling, Generative AI, Data Mining, and Distributed Computing (Hadoop, Scala, Spark). You will drive technical advancement, influence product direction, and be part of the team responsible for bringing the latest advancements in Machine Learning, Natural Language Processing, and Generative AI to drive major impact on how users discover Apple Media content on devices worldwide! You will use data-driven analysis to ideate, evaluate and prioritize features, and conduct A/B Tests to ensure we objectively measure improvements. You will ensure successful delivery of features, code, data, and models to production. You will collaborate with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expected performance levels, globally in languages from Arabic to Vietnamese and everything in between!

  • Design and develop AI/ML driven Discovery features for Apple's media offerings.
  • Propose, prototype and evaluate algorithm improvements.
  • Evangelize and build reusable AI capabilities.
  • Drive technical advancement and influence product direction.
  • Use data-driven analysis to ideate, evaluate and prioritize features.
  • Conduct A/B Tests to measure improvements.
  • Ensure successful delivery of features, code, data, and models to production.
  • Collaborate with researchers, engineers, and operations teams.
  • MS/PhD in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
  • 2+ years of experience working in the AI/ML field.
  • Expertise in large-volume big data processing (batch or streaming).
  • Experience with Apache Spark and Apache Flink.
  • Familiarity with agentic workflows, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), and knowledge graphs.
  • Strong communication skills.
  • Experience in Information Retrieval.
  • Knowledge of Language Modeling.
  • Experience with Generative AI.
  • Familiarity with Data Mining.
  • Experience with Distributed Computing (Hadoop, Scala, Spark).
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