Sr. ML Optimization Engineer, iCloud

Apple Inc

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $181,100–$318,400 / yr
Posted: 23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $250k

$140k most similar roles pay here $337k

This role pays more than 85% of similar roles. Most pay $169,350–$237,875 — the shaded band above. At the midpoint, this role pays about $250k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Sr. ML Optimization Engineer, iCloud

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As a Senior ML Optimization Engineer at Apple’s iCloud services organization, you will join a team dedicated to enhancing the efficiency of cloud infrastructure through advanced analytics and machine learning. Your primary responsibilities include analyzing usage patterns, developing sophisticated cost models, and implementing strategies for capacity planning and workload scheduling that minimize resource wastage while ensuring reliability and performance. You will collaborate with engineering teams, data scientists, and finance experts to solve large-scale optimization problems and directly impact millions of users globally. The role requires expertise in machine learning-based modeling, time-series forecasting, and hands-on experience with observability tools for deep insights into service performance. Ideal candidates have a strong background in software engineering, classical optimization techniques, and a degree in Computer Science or Engineering.

Skills

Python Java ML-based modeling time-series forecasting Kubernetes AWS Azure GCP Prometheus CI/CD Git Scalability Reliability Cost-effectiveness Classical optimization techniques Machine learning pipelines Service monitoring tools Large-scale distributed systems

What you'll do

Develop and implement strategies to optimize iCloud services' resource utilization.
Formulate and solve large-scale optimization problems for capacity allocation.
Collaborate with data scientists to create ML-driven forecasting models.
Analyze infrastructure usage patterns to inform scalable and reliable service design.
Contribute to cost model development, ensuring efficient resource use in cloud services.

What we're looking for

3+ years experience in large-scale cloud services environments
Strong background in software engineering and ML-based modeling for cloud services
Expertise in time-series forecasting and data-driven decision making
Hands-on experience with platform observability tools for deep service performance insights
Experience developing cost models to ensure optimal resource utilization and efficiency
Bachelor or Master's degree in Computer Science, Engineering, or related field