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Senior ML Optimization Engineer, iCloud

Apple· Software and Services
Apply on company site
ShanghaiFull-timePosted 2mo ago

About the role

Senior ML Optimization Engineer focusing on ML-driven forecasting, capacity planning, resource optimization, and cost modeling for iCloud’s large-scale services. Works at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization to improve efficiency of cloud services and reduce unit cost while maintaining reliability and latency targets.

Responsibilities

  • Optimize the design, deployment, and operation of iCloud services.
  • Collaborate with engineering teams, data scientists, and finance to develop and implement strategies aligned with cloud sustainability and resource utilization principles.
  • Formulate and solve large-scale optimization problems to allocate capacity, schedule workloads, and minimize cost under reliability and latency constraints.
  • Contribute to optimizing iCloud’s performance and resource utilization, influencing unit cost of services and overall customer experience.

Qualifications

  • 3+ years of relevant experience in large-scale cloud services or similar environments
  • Strong software engineering background and experience with ML-based modeling, time-series forecasting, and data-driven decision making for cloud services
  • Exceptional analytical and problem-solving skills, with the ability to communicate complex ideas clearly 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

Skills

Required:ML-based modelingTime-series forecastingData-driven decision making
Nice to have:Optimization techniques
Last updated Sep 25, 2026. Interested? Apply on the company site.

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