Senior Engineering Manager, Conversational AI & Knowledge Intelligence

Apple is where individual imaginations gather together contributing to the values that lead to great work. Every new idea has the potential to become an extraordinary product service or customer experience. The AI Search u0026 Knowledge Platforms team builds the foundational intelligence powering Apples most iconic experiences including Siri Spotlight Safari Apple Intelligence and many other applications across the Apple ecosystem.

We are seeking an exceptional Senior Engineering Manager to lead the engineering organization responsible for Conversational AI World Knowledge Question Answering Retrieval-Augmented Generation (RAG) and Knowledge Intelligence. This team develops the next generation of AI-powered experiences that enable billions of users worldwide to ask questions naturally and receive accurate grounded personalized and delightful answers. You will lead a world-class team of machine learning engineers software engineers data engineers and applied scientists building scalable knowledge systems LLM-powered reasoning capabilities retrieval infrastructure and knowledge generation platforms that continuously improve the quality freshness and intelligence of Apples conversational experiences.

In this role you will define the vision architecture and execution strategy for Apples Conversational AI and Knowledge Intelligence platform powering Siri Spotlight Safari Apple Intelligence and future AI experiences across the Apple will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG) world knowledge understanding conversational reasoning knowledge generation and distillation answer grounding ranking experience enrichment and LLM inference optimization. Your organization will build intelligent systems that combine Apples proprietary knowledge graph trusted web content structured and unstructured knowledge and state-of-the-art foundation models to deliver highly accurate context-aware and trustworthy will drive the development of scalable knowledge pipelines that continuously acquire curate synthesize validate and distill information from diverse sources into high-quality knowledge assets consumable by large language models and downstream experiences. You will partner closely with foundation model teams to improve retrieval quality reasoning grounding hallucination mitigation citation generation answer completeness factual consistency and user will lead the development of sophisticated on-device and server-side software frameworks that enable low-latency privacy-preserving and cost-efficient retrieval orchestration and LLM inference across Apples Private Cloud Compute infrastructure and Apple silicon will collaborate across Siri Apple Intelligence Safari Spotlight Search Foundation Models Core ML Human Interface Privacy and Product organizations to deliver seamless AI-powered experiences that delight users around the a senior leader you will build and mentor high-performing engineering managers and technical leaders establish technical strategy and organizational direction foster engineering excellence and execute ambitious multi-year roadmaps while delivering high-quality products at Apples scale.

MS or Ph.D. in Computer Science Artificial Intelligence Machine Learning Information Retrieval Natural Language Processing or a related technical field.n8 years of experience leading large-scale engineering and machine learning organizations delivering AI-powered products in experience building conversational AI search question answering knowledge systems recommendation systems or large-scale information retrieval technical expertise in large language models (LLMs) Retrieval-Augmented Generation (RAG) NLP and distributed ability to define long-term technical strategy while successfully executing complex cross-functional programs involving multiple engineering organizations.

Deep expertise in modern LLM architectures agentic AI retrieval systems semantic search vector databases embedding models knowledge graphs and multi-stage retrieval and ranking engineering and Ru0026D experience in LLM post-training reinforcement learning for language models (RLHF RLAIF) reward modeling policy optimization model alignment grounding hallucination reduction factuality improvement and production deployment of large-scale AI building large-scale knowledge generation knowledge distillation content understanding and knowledge enrichment pipelines that continuously improve AI quality and product vision with the ability to translate emerging AI technologies into impactful customer experiences across consumer leadership organizational and communication skills with demonstrated success influencing senior executives and driving alignment across multiple for building inclusive high-performing engineering teams and fostering a culture of technical excellence innovation and continuous learning.