Apple
ML Optimization Engineer, ASE Efficiency
On site · Seattle, Washington, United States
Employer posted October 23, 2026
Read the details here. Create a free account to compare this role with your resume and keep track of your application.
What the role needs
- 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
- Demonstrable experience in capacity planning and resource optimization
- PhD in CS or related field
From the employer
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. 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 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
Availability and requirements can change. Confirm details with the employer before applying.
