Sr. ML Optimization Engineer, iCloud

Apple

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Apple, Apple iCloud, Capacity Management, Cloud Computing, Communication Skills, Computer Science, Cost Effectiveness Analysis, Cost Modeling, Cross-Functional, Distributed Computing, Forecasting, Large-Scale Systems, Machine Learning, Pattern Analysis, Problem Solving Skills, Process Improvement, Resource Utilization, Software Engineering, Strategic Analysis, Sustainability, Systems Engineering, Usage Analysis
LOCATION
Seattle, WA
POSTED
30+ days ago
**Role Number:** 200631705-3337 **Summary** In Apple's iCloud services organization, efficiency is not just a technical goal; it's an essential part of our commitment to environmental sustainability and optimal resource utilization. This team plays a pivotal role in ensuring that our cloud services are not only robust and reliable but also efficiently utilize resources at scale. This team also focuses on ML-driven forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. You will have the unique opportunity to collaborate closely with experts, contribute to cutting-edge forecasting and optimization strategies, and directly impact millions of users globally. Our team is at the forefront of driving efficiency in one of the world's largest cloud infrastructures, supporting billions of devices globally. **Description** The Sr. ML Optimization Engineer will be a key player in Apple's ongoing efforts to improve the efficiency of its cloud services. This role involves in-depth analysis of infrastructure usage patterns, and data-driven capacity planning to ensure scalability and reliability while minimizing resource wastage. **Minimum Qualifications** + 3+ years of relevant experience in large-scale cloud services or similar environments + Strong software engineering background and experience with ML-based modeling, time-series forecasting, and data-driven decision making for cloud services + Exceptional analytical and problem-solving skills, with the ability to communicate complex ideas clearly and effectively to cross-functional teams + Hands-on experience with platform observability tools, enabling deep insights into service performance and helping to drive optimizations + Experienced in developing cost models and strategies for software services, ensuring optimal resource utilization and cost-effectiveness + Bachelor or Master's degree in Computer Science, Engineering, or a related field **Preferred Qualifications** + Experience applying classical optimization techniques to real-world systems or infrastructure problems + Demonstrable experience in capacity planning and resource optimization using machine learning and/or optimization techniques + Knowledge of machine learning pipelines and service monitoring tools a plus + PhD in CS or related field with a focus on machine learning, optimization, or large-scale distributed systems

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs