Sr. ML Optimization Engineer, iCloud

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $171,600–$302,200 / yr
Posted: 23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $237k

$142k most similar roles pay here $319k

This role pays more than 74% of similar roles. Most pay $169,350–$238,850 — the shaded band above. At the midpoint, this role pays about $237k 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 data-driven capacity planning strategies, and solving large-scale optimization problems to ensure scalability and reliability while minimizing resource wastage. You will collaborate with engineering teams, data scientists, and finance experts to implement cutting-edge forecasting and optimization techniques that directly impact millions of users globally. The role requires expertise in ML-based modeling, time-series forecasting, and cost model development, along with hands-on experience using observability tools for deep insights into service performance. Ideal candidates have a strong background in software engineering and classical optimization techniques, as well as knowledge of machine learning pipelines and service monitoring tools.

Skills

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

What you'll do

Develop and implement strategies to optimize iCloud services' resource utilization.
Formulate and solve complex optimization problems for capacity allocation and workload scheduling.
Collaborate with data scientists and finance experts to align cloud sustainability goals.
Analyze infrastructure usage patterns to inform scalable and reliable capacity planning.
Contribute to the development of sophisticated cost models for efficient resource management.

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 cost-effectiveness
Bachelor or Master's degree in Computer Science, Engineering, or related field