The Sr. ML Optimization Engineer will play a crucial role in enhancing the efficiency of Apple's cloud services within the iCloud services organization. This team focuses on machine learning-driven forecasting, capacity planning, and resource optimization to support one of the world's largest cloud infrastructures. The role involves collaborating with experts to develop sophisticated cost models and drive optimizations that impact millions of users globally. The engineer will analyze infrastructure usage patterns to ensure scalability and reliability while minimizing resource wastage.

• 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's 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, optimization, or large-scale distributed systems

• Conduct in-depth analysis of infrastructure usage patterns to inform capacity planning
• Develop and implement machine learning-driven forecasting and optimization strategies
• Collaborate with cross-functional teams to communicate complex ideas clearly
• Drive optimizations that enhance resource utilization and cost-effectiveness
• Create and refine sophisticated cost models for iCloud's large-scale 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.