In this role, you will be part of the Siri and Information Intelligence organization, focusing on enhancing user experiences through Apple Intelligence. You will drive the development of LLM-based question answering and personal content search, utilizing advanced reinforcement learning techniques. The position requires a deep understanding of user context and information needs to deliver accurate and intuitive solutions. You will collaborate with various teams to impact billions of Apple users worldwide.

• 10+ years of R&D experience leading engineering, applied research, or machine learning experiences in search and natural language processing.
• MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field.
• Deep expertise in information retrieval, machine learning, and natural language processing, particularly in reinforcement learning-based post-training on LLM models.
• Strong product intuition and ownership.
• Excellent communication skills.
• A growth mindset and the ability to learn new technologies.

• Drive LLM-based question answering and personal content search.
• Develop advanced reinforcement learning algorithms and synthetic/human data pipelines.
• Evangelize the generative AI technology vision and strategy.
• Execute plans to improve the quality of LLM-based models across multiple Apple Intelligence features.
• Deliver an exceptional end-user experience by integrating cutting-edge hardware and software.

• 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.