This role involves joining a team of software engineers and researchers focused on enhancing user experiences through intelligent systems that understand location context. The position requires experience in machine learning and the ability to handle complex, end-to-end problems. You will work on production ML systems that analyze data from various sensors to infer device patterns. Collaboration with teams across sensing, Siri, and apps is essential to achieve the mission of personalizing the Apple user experience.

• Proven experience taking machine learning models through the entire lifecycle from ideation to production deployment.
• Demonstrated experience working with time-series analysis, sequential modeling, or spatial-temporal datasets.
• Experience handling sparse, irregular, or highly imbalanced data streams typical of real-world sensor or location data.
• Experience shipping production software for mobile and/or other resource-constrained devices.
• Capability of creating, analyzing, and modifying software functionality in C++/Obj-C/Swift codebases.
• Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
• Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms.
• Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.
• Some professional background in location and/or other wireless sensing technologies.

• Join a team focused on identifying behavioral patterns to enhance user experiences.
• Design, build, and evaluate production machine learning systems.
• Test and refine your work while tracking metrics for quality.
• Collaborate closely with teams across sensing, Siri, and apps.
• Innovate within tight memory, CPU, and schedule constraints.

• 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.