About the job
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.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
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
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