The role involves working with the Geo domain team at Apple to enhance how users navigate and explore local information through Siri and other products. The team focuses on applying innovative machine learning techniques and large language models to improve search relevance and document ranking. Candidates will collaborate with a diverse group of applied scientists and engineers to deliver an extraordinary Maps experience. This position offers the opportunity to shape upcoming products and drive impactful research directions.

• 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
• A Master's Degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• A PhD in Computer Science, Machine Learning, Information Retrieval, or a related field, or equivalent research experience demonstrated through publications, patents, or significant open-source contributions.
• Proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
• Experience applying LLMs and generative AI techniques to production search or recommendation systems.

• Use innovative machine learning techniques and LLMs to understand queries and rank documents.
• Lead experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
• Monitor recent research literature and translate findings into practical system improvements.
• Independently identify high-impact research directions and drive them forward.
• Collaborate with cross-functional teams including product and design.

• 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.