🌍 Global Opportunities
Updated Hourly
🎓 Student Friendly

parttimejobs.work

Flexible Work, Better Balance

⏰ Full-time

Machine Learning Compute Efficiency Lead, Infrastructure & Planning

Apple
Location 📍 Cupertino, United States
Posted 📅 June 02, 2026
Work Type ⏰ Full-time

Position Overview

**Role Number:** 200659537-0836

**Summary**
Apple’s Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the critical intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Apple’s software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development across the company.
As foundation models become increasingly central to Apple's user experiences, maximizing the efficiency of our ML compute is paramount. In this role, you will focus relentlessly on compute efficiency, ensuring that Apple’s models run as fast, reliably, and cost-effectively as possible. You will tackle massive optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for la...

Apply Now

Submit Application →

Quick and easy application process

Job Details

Employment Type
Full-time
📊
Category
other-general
🏠
Work Arrangement
On-site
📍
Location
Cupertino, United States