On-Device ML Compiler Engineer
Apple Inc
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How this pay compares to similar roles
This role pays more than 85% of similar roles. Most pay $185,312–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $220k for comparable roles.
Based on 240 similar postings.
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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
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning joins the On-Device Machine Learning team to build essential infrastructure for running machine learning models locally across various Apple devices. The role focuses on model compilation within an MLIR-based compiler stack to target the neural engine, GPU, and CPU. You will be responsible for owning core pieces of the compiler stack that enable heterogeneous compute, proposing upstream changes in MLIR to support new features, and collaborating with hardware and performance teams to optimize execution across diverse hardware environments. The position requires expertise in C++, PyTorch or related training frameworks, and knowledge of common ML model architectures. Preferred skills include Swift, writing kernels for machine learning execution, and familiarity with programming paradigms specifically for the GPU, CPU, and Neural Engine.
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