As a Senior Software Engineer specializing in Navigation Intelligence at Apple Maps, you will work at the intersection of AI and user experience. Your role will involve using machine learning to enhance navigation experiences for users globally. You will collaborate with various teams to create intuitive and personalized navigation solutions while adhering to Apple's privacy-first approach. This position offers the opportunity to solve complex technical problems and influence how billions of people navigate the physical world.

• BS, MS, or PhD in Computer Science, Machine Learning, Mathematics, or related field with strong industry experience building large-scale, production-grade ML applications.
• Proven experience applying applied Machine Learning to solve complex, customer-facing technical problems.
• Ability to write complex, highly-performant, clean, and maintainable solutions in C++.
• Solid understanding of algorithms, data structures, and software architecture.
• Strong problem-solving skills and comfort working with ambiguity, evolving requirements, and open-ended product questions.
• Good interpersonal and communication skills, possessing the ability to work both independently and collaboratively in a distributed, multi-functional team environment.
• Experience with ML techniques applied to navigation, geospatial data, or time-series context.
• Familiarity with privacy-preserving approaches to ML and data processing.
• Experience with deep learning frameworks and writing Python tools for data exploration, prototyping, and pipeline development.
• Familiarity with navigation use cases across different modalities.
• Experience with data pipelines, scalable data architectures, or cloud-native infrastructure for model training and deployment.
• Familiarity with macOS or Linux development environments.

• Spearhead new initiatives to transform navigation into a natural and intuitive experience.
• Apply machine learning to solve complex problems within the guidance system.
• Collaborate with multiple partners across design, routing algorithms, data science, and product.
• Analyze requirements, build and train models, and optimize solutions for on-device and backend execution.
• Support production systems serving billions of requests daily, including occasional on-call duties.

• 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.