Senior ML Optimization Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 121 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k

This role $255k

$157k most similar roles pay here $343k

This role pays more than 80% of similar roles. Most pay $199,350–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $227k for comparable roles.

Based on 240 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior ML Optimization Engineer

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Sr. ML Optimization Engineer, iCloud joins the iCloud services organization to drive efficiency through advanced infrastructure strategy and resource optimization. In this role, you will analyze infrastructure usage patterns, perform data-driven capacity planning, and develop sophisticated cost models for large-scale cloud services. You will collaborate with engineering, data science, and finance teams to solve complex optimization problems involving workload scheduling and capacity allocation under strict reliability and latency constraints. The position requires a strong software engineering background combined with expertise in machine learning-based modeling, time-series forecasting, and platform observability tools. You will apply classical optimization techniques and machine learning pipelines to improve service performance and minimize resource wastage. This role addresses the technical challenge of managing large-scale cloud infrastructure while ensuring optimal resource utilization and cost-effectiveness for global services.

Skills

Machine Learning Time-series Forecasting Capacity Planning Resource Optimization Distributed Systems Software Engineering Platform Observability Service Monitoring Optimization Techniques Cloud Infrastructure

What you'll do

Optimize the design, deployment, and operation of iCloud services.
Analyze infrastructure usage patterns to perform data-driven capacity planning.
Formulate and solve large-scale optimization problems to allocate capacity and schedule workloads.
Minimize operational costs while maintaining strict reliability and latency constraints.
Develop sophisticated cost models for large-scale cloud services.
Implement machine learning-based modeling and time-series forecasting for resource management.
Utilize platform observability tools to gain insights into service performance and drive optimizations.

What we're looking for

Bachelor or Master's degree in Computer Science, Engineering, or a related field.
PhD in CS or a related field with a focus on machine learning, optimization, or large-scale distributed systems is preferred.
3+ years of relevant experience in large-scale cloud services or similar environments.
Strong software engineering background and experience with ML-based modeling and time-series forecasting.
Experience developing cost models and strategies for software services to ensure optimal resource utilization.
Hands-on experience with platform observability tools to gain insights into service performance.
Experience applying classical optimization techniques to real-world systems or infrastructure problems.
Demonstrated experience in capacity planning and resource optimization using machine learning or optimization techniques.

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