This role involves joining a team of software engineers and researchers dedicated to enhancing the Apple user experience through intelligent systems that understand location context. The focus is on developing machine learning models that analyze behavioral patterns using data from various sensors. Candidates should be motivated to tackle complex problems and deliver contextual intelligence within resource constraints. Collaboration with teams across sensing, Siri, and apps is essential to shape new user experiences.

• 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 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 that infer device patterns.
• Test and refine machine learning models, track metrics, and iterate for quality.
• Collaborate closely with teams across sensing, Siri, and apps.
• Innovate within tight memory, CPU, and schedule constraints to deliver on time.

• 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.