Sr. ML Optimization Engineer, iCloud

In Apples iCloud services organization efficiency is not just a technical goal; its 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 iClouds 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 worlds largest cloud infrastructures supporting billions of devices globally.

The Sr. ML Optimization Engineer will be a key player in Apples 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.

You will help optimize the design deployment and operation of iCloud will collaborate closely with engineering teams data scientists and finance experts to develop and implement strategies that align with Apples cloud sustainability and resource utilization will formulate and solve large-scale optimization problems to allocate capacity schedule workloads and minimize cost under reliability and latency work will directly contribute to optimizing iClouds performance and resource utilization influencing the unit cost of services and the overall customer experience.

3 years of relevant experience in large-scale cloud services or similar environmentsnStrong software engineering background and experience with ML-based modeling time-series forecasting and data-driven decision making for cloud servicesnExceptional analytical and problem-solving skills with the ability to communicate complex ideas clearly and effectively to cross-functional teamsnHands-on experience with platform observability tools enabling deep insights into service performance and helping to drive optimizationsnExperienced in developing cost models and strategies for software services ensuring optimal resource utilization and cost-effectivenessnBachelor or Masters degree in Computer Science Engineering or a related field

Experience applying classical optimization techniques to real-world systems or infrastructure problemsnDemonstrable experience in capacity planning and resource optimization using machine learning and/or optimization techniquesnKnowledge of machine learning pipelines and service monitoring tools a plusnPhD in CS or related field with a focus on machine learning optimization or large-scale distributed systems