Applied Machine Learning Engineer, Platform Architecture
Apple Inc
Quick summary
Market check
How this pay compares to similar roles
This role pays more than 55% of similar roles. Most pay $174,550–$242,000 — the shaded band above. At the midpoint, this role pays about $214k versus about $208k for comparable roles.
Based on 240 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 2299 open roles on FindRole.
Listed pay typically runs $175,000–$277,600 across 1870 roles with salary data.
Most-posted roles
At a glance
As a Machine Learning Engineer, Platform Architecture, you will join the Platform Architecture group to work at the intersection of machine learning applications and silicon architecture. You will collaborate with cross-functional teams to design how hardware and software function as a unified system. Your daily responsibilities include creating optimized implementations of machine learning workloads on Apple silicon, including the Neural Engine, GPU, and CPU. You will develop performance models and simulations for future hardware, conduct performance studies to validate architectural decisions, and analyze trade-offs for emerging techniques. The role requires proficiency in C/C++ or Python, knowledge of computer architecture fundamentals, and experience with ML frameworks like PyTorch. You will also utilize skills in compiler technologies and algorithm prototyping to ensure machine learning workloads run efficiently on system-on-a-chip architectures.
What does a Machine Learning Engineer earn in California?
Median $247075 from 176 postings across 30 companies.
Skills
What you'll do
What we're looking for
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