The role involves working as an experienced ML engineer on the Geo domain team, which focuses on enhancing how users navigate and explore their surroundings through Apple products. The team aims to improve search and recommendation systems using innovative machine learning techniques and large language models. Candidates will have the opportunity to shape upcoming products and contribute to delivering an extraordinary Maps experience in Siri and Spotlight. The position requires strong technical skills and a passion for local information.

• 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
• Deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
• Proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
• Comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
• Master's Degree in Computer Science or equivalent experience in machine learning or a related field.
• Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics.

• Own the entire ML development cycle from opportunity analysis, exploration, and prototyping to data collection, feature engineering, training, evaluation, and deployment in production.
• Lead the development of machine learning models to improve search quality across retrieval, ranking, reranking, and query understanding.
• Improve search quality and experience by leveraging techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.
• Mentor junior engineers and provide technical leadership in architecting ML systems and designing ML models.
• Understand product requirements, then translate them into modeling tasks and engineering tasks.

• 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.