The Senior Engineering Manager will lead the engineering organization focused on Conversational AI, World Knowledge Question Answering, and Knowledge Intelligence. This team is responsible for developing AI-powered experiences that allow users to interact naturally and receive accurate answers. The role involves overseeing a diverse team of engineers and scientists to build scalable knowledge systems and enhance Apple's conversational experiences. The manager will also define technical strategies and drive cross-functional programs.

• MS or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Natural Language Processing, or a related technical field.
• 8+ years of experience leading large-scale engineering and machine learning organizations delivering AI-powered products in production.
• Deep experience building conversational AI, search, question answering, knowledge systems, recommendation systems, or large-scale information retrieval platforms.
• Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems.
• Demonstrated 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 systems.
• Strong engineering and R&D 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 systems.
• Experience building large-scale knowledge generation, knowledge distillation, content understanding, and knowledge enrichment pipelines that continuously improve AI quality and freshness.
• Strong product vision with the ability to translate emerging AI technologies into impactful customer experiences across consumer products.
• Outstanding leadership, organizational, and communication skills with demonstrated success influencing senior executives and driving alignment across multiple organizations.
• Passion for building inclusive, high-performing engineering teams and fostering a culture of technical excellence, innovation, and continuous learning.

• Lead a world-class team of machine learning engineers, software engineers, data engineers, and applied scientists.
• Build scalable knowledge systems and LLM-powered reasoning capabilities.
• Develop retrieval infrastructure and knowledge generation platforms.
• Continuously improve the quality, freshness, and intelligence of Apple's conversational experiences.
• Define long-term technical strategy for the engineering organization.
• Execute complex cross-functional programs involving multiple engineering organizations.
• Foster a culture of technical excellence, innovation, and continuous learning within the team.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.