ML Optimization Engineer, ASE Efficiency

Summary

In Apple’s iCloud services organization, efficiency is not just a technical goal; it's an essential part of our commitment to environmental sustainability and optimal resource utilization. The iCloud Efficiency team plays a pivotal role in ensuring that our cloud services are not only robust and reliable but also efficiently utilize resources at scale. This team focuses on forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As an iCloud Efficiency Engineer, you will work at the intersection of systems engineering, infrastructure strategy, and applied analytics. You will have the unique opportunity to collaborate closely with experts, contribute to cutting-edge forecasting and optimization strategies, and directly impact millions of users globally. Our team is at the forefront of driving efficiency in one of the world’s largest cloud infrastructures, supporting billions of devices globally.

Description

The iCloud Efficiency Engineer will be a key player in Apple’s ongoing efforts to improve the efficiency of its cloud services. You will help optimize the design, deployment, and operation of iCloud services. This role involves in-depth analysis of infrastructure usage patterns, and capacity planning to ensure scalability and reliability while minimizing resource wastage. You will collaborate closely with engineering teams, data scientists, and finance experts to develop and implement strategies that align with Apple’s cloud sustainability and resource utilization principles. Your work will directly contribute to optimizing iCloud’s performance, influencing the unit cost of services and the overall customer experience.

Minimum Qualifications

• Strong software engineering background and experience with data-driven modeling, forecasting and decision making for cloud services
• Exceptional analytical and problem-solving skills, with the ability to communicate complex ideas clearly and effectively to cross-functional teams
• Hands-on experience with platform observability tools, enabling deep insights into service performance and helping to drive optimizations
• Experienced in developing cost models and strategies for software services, ensuring optimal resource utilization and cost-effectiveness
• Bachelor or Master's degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• Demonstrable experience in capacity planning and resource optimization
• Knowledge of machine learning pipelines and service monitoring tools a plus
• PhD in CS or related field