Sr. ML Optimization Engineer, iCloud

What you'll do

• Optimize the design, deployment, and operation of iCloud services.
• Develop strategies with engineering, data science, and finance teams to improve sustainability and resource utilization.
• Solve large-scale optimization problems for capacity allocation and workload scheduling while meeting reliability and latency constraints.

What they ask for

• Strong software engineering background and experience with ML-based modeling, time-series forecasting, and data-driven decision making for cloud services.
• Strong analytical, problem-solving, and cross-functional communication skills.
• Hands-on experience with platform observability tools and experience developing cost models and resource-utilization strategies for software services.
• Bachelor or Master's degree in Computer Science, Engineering, or a related field.

Nice to have

• Experience applying classical optimization techniques to real-world systems or infrastructure problems; experience in capacity planning and resource optimization using machine learning and/or optimization techniques.
• Knowledge of machine learning pipelines and service monitoring tools; PhD in CS or related field focused on machine learning, optimization, or large-scale distributed systems.

Pay

$184,700 and $324,800 USD base salary; $175,000 and $308,500 USD base salary

AI focus

Uses machine learning for forecasting, capacity planning, resource optimization, and cost modeling for iCloud services.