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, 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 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. 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, 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
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. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.