Senior Machine Learning Engineer, AI, SIML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $237k
$155k most similar roles pay here $318k

This role pays more than 68% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, AI, SIML

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As a senior machine learning engineer on Apple's Intelligence System Experience team, you will design and develop software systems and algorithms to enhance the scalability and performance of Apple’s AI-driven experiences across both device and server environments. Your daily tasks include pushing the boundaries of existing training technologies, creating new techniques for efficient model deployment, and contributing to the company’s centralized ML platform. Ideal candidates should have extensive experience with PyTorch and a deep understanding of its internals, along with expertise in high-performance ML infrastructure and software–hardware co-design principles. This role offers opportunities to work on groundbreaking modeling technologies that impact billions of users and to open-source your contributions, making it ideal for those passionate about advancing the field of generative AI and large-scale deep learning.

Skills

Python PyTorch PyTorch_Distributed DeepSpeed FairScale LLM_architectures MLSys NeurIPS High_performance_ML_infrastructure Parallel_training_libraries Software_hardware_co_design_principles On_device_inference CI/CD

What you'll do

  • Design and develop core components of a scalable machine learning platform.
  • Push the boundaries of existing deep learning training technologies to enhance performance.
  • Create new techniques to optimize system efficiency for both on-device and server environments.
  • Develop high-performance ML infrastructure using PyTorch and related libraries.
  • Contribute to open-source projects by releasing your work publicly.
  • Collaborate with teams across Apple to deploy AI-driven experiences in high-impact tasks.
  • Maintain state-of-the-art machine learning frameworks and improve their efficiency.

What we're looking for

  • PhD or Master's in Computer Science with 3+ years of AI/ML experience.
  • Expertise in Python programming and PyTorch software stack maintenance.
  • Deep understanding of LLM architectures and core building blocks.
  • Experience with parallel training libraries like PyTorch Distributed, DeepSpeed.
  • Familiarity with software–hardware co-design principles and high-performance ML infrastructure.

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