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AIML - Staff ML Infrastructure Engineer, ML Platform & Technology - Pre-training Infrastructure
Apple
๐
San Francisco, United States
Location
San Francisco
Posted
June 03, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
**Role Number:** 200662426-3401
**Summary**
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each otherโs ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. Itโs the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, youโll do more than join something โ youโll add something!
**Description**
As an engineer on ML Compute team, your work will include:
- Drive large-scale pre-training initiatives to support cutting-edge foundation models, focusing on resiliency, efficiency, scalability, and resource optimization.
- Enhance distributed training techniques ...
**Summary**
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each otherโs ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. Itโs the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, youโll do more than join something โ youโll add something!
**Description**
As an engineer on ML Compute team, your work will include:
- Drive large-scale pre-training initiatives to support cutting-edge foundation models, focusing on resiliency, efficiency, scalability, and resource optimization.
- Enhance distributed training techniques ...