Senior ML Optimization Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: San Francisco, 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 enhance cloud infrastructure efficiency and resource utilization. This role involves analyzing infrastructure usage patterns and performing data-driven capacity planning to ensure scalability while minimizing waste. You will collaborate with engineering, data science, and finance teams to develop strategies for sustainability and formulate solutions for large-scale optimization problems, such as workload scheduling and cost minimization under latency constraints. The position requires expertise in software engineering, machine learning-based modeling, time-series forecasting, and platform observability tools. Candidates should possess skills in developing cost models and applying classical optimization techniques to infrastructure problems. The work focuses on the technical challenge of optimizing large-scale cloud services, specifically addressing the complexities of capacity planning and resource management for a massive global service infrastructure.

Skills

Machine Learning Time-series Forecasting Capacity Planning Resource Optimization Distributed Systems Software Engineering Platform Observability Service Monitoring 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.
Develop sophisticated cost models for large-scale cloud services.
Minimize resource wastage while maintaining reliability and latency constraints.
Implement machine learning-based modeling and time-series forecasting for cloud infrastructure.
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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