Sr. ML Infrastructure Engineer, Siri Runtime Systems and Interaction
Apple Inc
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How this pay compares to similar roles
This role pays less than 85% of similar roles. Most pay $192,000–$246,150 — the shaded band above. At the midpoint, this role pays about $174k versus about $219k for comparable roles.
Based on 239 similar postings.
Employer
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 1723 open roles on FindRole.
Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.
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At a glance
Join the Siri Team at Apple as a Machine Learning Systems Engineer, where you will contribute to cutting-edge technologies that power delightful Siri experiences. This role involves integrating machine learning models into production software pipelines with a focus on performance and reliability, building and optimizing infrastructure for ML model evaluation and deployment, and collaborating closely with ML engineers to translate model requirements into efficient system implementations. You will optimize existing systems for ML workloads, debug complex issues, and drive feature development from concept through launch. Essential skills include strong programming in Swift, C++, or Objective-C, a solid understanding of machine learning concepts, and experience developing algorithms for resource-constrained platforms. Familiarity with frameworks like Core ML, PyTorch, and TensorFlow is preferred. This position offers the opportunity to impact millions of users by working on advanced technology solutions within a collaborative environment at Apple.
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