The Sr. ML Optimization Engineer will play a crucial role in enhancing the efficiency of Apple's cloud services. This position involves working at the intersection of systems engineering, infrastructure strategy, and machine learning to optimize resource utilization. The team focuses on ML-driven forecasting, capacity planning, and developing cost models for large-scale services. This role offers the opportunity to collaborate with experts and directly impact millions of users globally.

• 3+ years of relevant experience in large-scale cloud services or similar environments
• Strong software engineering background with experience in ML-based modeling and time-series forecasting
• Exceptional analytical and problem-solving skills with effective communication abilities
• Hands-on experience with platform observability tools for service performance insights
• Experience in developing cost models and strategies for software services
• Bachelor or Master's degree in Computer Science, Engineering, or a related field
• Experience applying classical optimization techniques to real-world systems
• Demonstrable experience in capacity planning and resource optimization using machine learning
• Knowledge of machine learning pipelines and service monitoring tools is a plus
• PhD in CS or related field with a focus on machine learning or optimization

• Conduct in-depth analysis of infrastructure usage patterns to improve efficiency
• Engage in data-driven capacity planning to ensure scalability and reliability
• Minimize resource wastage through effective optimization strategies
• Collaborate with cross-functional teams to communicate complex ideas clearly
• Drive the development of sophisticated cost models for cloud services

• 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.