Senior Machine Learning Engineer, Apple Intelligence Data Platform

Seattle, Washington, United States Machine Learning and AI

Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we’d love to hear from you. We’re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple’s ecosystem — including Siri Suggestions, the Shortcuts app, and more — by building scalable, privacy-conscious ML systems!

Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud — adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more.

Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams active Intelligence is central to Apple Intelligence. We’re building a contextual, on-device platform that anticipates user needs — from predicting which app you'll launch next to understanding the difference between work and leisure modes.

This is your opportunity to help shape the next generation of personal, privacy-preserving intelligence for millions of users!  ()

As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences. This role is ideal for candidates with hands‑on experience in Vector databases, Knowledge Graphs, Semantic Search, Retrieval‑Augmented Generation (RAG), decoding strategies, Generative AI inference, and prompt optimization.

You will collaborate closely with several engineering teams at Apple —such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc— to power exciting Apple Intelligence features and ship them to our customers.

• 5+ years of increasing responsibility and relevant experience
• Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field.
• Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external VALUES, Vector databases and related fields.
• Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication
• Proficiency in one or more locks of the following languages Landing:
  Python, Go, Java, C++, or Swift
• Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering

• MS or Ph. D in Computer Science or a related field
• Deep understanding of machine learning and deep learning algorithms
• Experience in LLM, machine learning, deep learning, information retrieval or natural language processing
• Strong analytical and independent problem-solving skills
• Experience working in cross‑functional teams across product ocorr design, and infrastructure

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 $139,500 and $258,100, 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.…