In this role, you will lead a team of machine learning engineers, software engineers, and data engineers focused on delivering efficient generative AI models for summarization capabilities across various data types. You will drive end-to-end research and development to create high-quality summaries for Apple users, utilizing on-device and server-based models. The position involves improving summarization models for knowledge-seeking questions and enhancing user experiences across Apple's ecosystem. Collaboration with organizational partners is essential to impact billions of users worldwide.

• 8+ years of experience in leading engineering, applied research, or machine learning in natural language processing and generative AI models.
• Proven record of consistent delivery of technology and products across the full machine learning life cycle.
• MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field.
• Strong background and experience in machine learning, natural language processing, and retrieval-augmented generation.
• Exceptional verbal and written communication skills.

• Lead a team responsible for delivering generative AI models for summarization.
• Drive end-to-end research and development for high-quality summarization experiences.
• Develop state-of-the-art LLM-based generative models and safety models.
• Create sophisticated software frameworks for efficient model inference.
• Devise product vision and strategy to enhance user experiences.

• 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.