Sr. ML Optimization Engineer, iCloud

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$171,600–$302,200 / yr
Posted
23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $237k
$147k most similar roles pay here $319k

This role pays more than 72% of similar roles. Most pay $174,050–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $210k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Sr. ML Optimization Engineer, iCloud

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As a Sr. 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 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 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 experience in developing cost models for cloud services to ensure optimal resource utilization and cost-effectiveness.

Skills

Python Java ML-based modeling Time-series forecasting Kubernetes AWS Azure GCP Prometheus Grafana CI/CD Docker Terraform SQL NoSQL Classical optimization techniques Capacity planning Machine learning pipelines Service monitoring tools

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.
  • Minimize cost while maintaining reliability and performance in cloud services.
  • Analyze infrastructure usage patterns to inform scalable and reliable design.

What we're looking for

  • 3+ years experience in large-scale cloud services or similar 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

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