Senior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform

Apple

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Apple, Apple Siri, Artificial Intelligence (AI), C++ Programming Language, Cloud Computing, Computer Science, Cross-Functional, Data Science, Deep Learning, Ecosystems, Go Programming Language (Golang), Information Retrieval, Java, Machine Learning, Multicultural, Natural Language Processing (NLP), Presentation/Verbal Skills, Private Cloud, Problem Solving Skills, Product Design, Python Programming/Scripting Language, Scalable System Development, Semantic Search, Software Design, System Integration (SI), Systems Scalability, Team Player, User Interface/Experience (UI/UX), Writing Skills
LOCATION
Seattle, WA
POSTED
30+ days ago
**Role Number:** 200625093-3337 **Summary** 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 at Apple. Proactive 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! https://www.apple.com/apple-intelligence/ (https://www.apple.com/apple-intelligence/) **Description** 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. **Minimum Qualifications** + 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 memories, 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 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 + 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, design, and infrastructure

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs