Machine Learning Engineer, Apple Intelligence Data Platform - Proactive
AppleAbout the Role
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 the user's context and personal knowledge. Your work will directly influence how users interact with Apple products through on-device search as well as through context-aware, proactive, and personalized experiences.
You will work on building the foundational platforms that personalize the on-device Siri assistant and sync the Siri and Apple Intelligence experience across the Apple device lineup — including iPhone, iPad, and Mac.
About the 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. The 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.
The team has underpinned all the Apple Intelligence features shipped to customers including Writing Tools, Notification Summaries, Siri and more. The team has a great mix of talent across Machine Learning and Software Engineering, with a strong culture of multi-functional collaboration across teams at Apple.
Key Focus Areas
Proactive Intelligence is central to Apple Intelligence. You'll be 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.
Minimum Qualifications
- 5+ years of increasing responsibility and relevant experience
- Bachelor's degree or higher in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Information Retrieval or a related field
- Experience in building on-device platforms, data pipelines and frameworks
- Experience in one or more of the following: Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields
- Experience supporting data analytics and instrumentation for large-scale ML / AI systems
- Deep understanding of machine learning and deep learning algorithms
- Experience designing and optimizing runtime or inference systems for machine learning and deep learning models in production
- Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication
- Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift
- Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
Preferred Qualifications
- MS or Ph.D in Computer Science or a related field
- Experience in LLM, machine learning models, deep learning models, information retrieval, platform development, or natural language processing
- Experience building offline experimentation, training, and evaluation pipelines to iterate on ML model performance and accuracy
- Strong analytical and independent problem-solving skills
- Experience working in cross-functional teams across product, design, and infrastructure
About Apple
Apple Inc. is a technology company that designs and sells consumer electronics, software, and services. Its core product lines are the iPhone line of smartphones, the iPad line of tablet computers, and the Mac line of personal computers, and it offers its products online and through a chain of retail stores known as Apple Stores. Other products include Apple Watch, Apple TV, and AirPods, along with services and platforms such as iOS, macOS, the App Store, and Apple TV.
Interested in this role?
Apply now to join Apple.