Sr. ML Optimization Engineer, iCloud
Apple · Cupertino, CA · Software and Services
About this role
Apple is hiring a senior-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Distributed Systems, Observability, Machine Learning, Performance Optimization.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Location
- Cupertino, CA
- Department
- Software and Services
- Posted
- May 12, 2026
More roles at Apple
Job description
from Apple careersIn 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. This 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 also focuses on ML-driven forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. 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. The Sr. ML Optimization Engineer will be a key player in Apple’s ongoing efforts to improve the efficiency of its cloud services. This role involves in-depth analysis of infrastructure usage patterns, and data-driven capacity planning to ensure scalability and reliability while minimizing resource wastage. h3 Minimum Qualifications /h3 3+ years of relevant experience in large-scale cloud…