Senior Machine Learning Engineer, AI, SIML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
55 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $237k
$156k most similar roles pay here $318k

This role pays more than 68% of similar roles. Most pay $177,012–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $212k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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View all roles at Apple Inc

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 core components of their scalable machine learning platform, focusing on accelerating training and inference speeds while improving system efficiency. Your daily tasks include pushing the boundaries of existing deep learning technologies and creating innovative techniques to optimize performance across both on-device and server environments. Ideal candidates should have extensive experience with PyTorch and a solid understanding of software–hardware co-design principles, as well as expertise in large language model architectures and high-performance ML infrastructure. This role offers opportunities to contribute to open-source projects and collaborate with world-class experts within Apple's centralized ML platform, addressing complex challenges at the forefront of AI technology.

Skills

Python PyTorch PyTorch_Distributed DeepSpeed FairScale LLM_architectures MLSys NeurIPS high-performance_ML_infrastructure software_hardware_co_design parallelization_algorithms open_source_contribution

What you'll do

  • Design and develop core components of Apple's scalable machine learning platform.
  • Push the boundaries of existing deep learning training technologies to enhance performance.
  • Create new techniques to optimize system-level efficiency for both on-device and server environments.
  • Develop high-performance ML infrastructure using PyTorch and related libraries like DeepSpeed or FairScale.
  • Contribute to open-source projects by releasing your work as publicly available software.
  • Collaborate with teams across Apple to deploy machine learning solutions on high-impact tasks.

What we're looking for

  • PhD or Master's in Computer Science with 3+ years of AI/ML experience.
  • Proficient Python programmer and deep knowledge of PyTorch internals.
  • Expertise in software–hardware co-design principles and ML algorithms.
  • Experience maintaining state-of-the-art machine learning frameworks.
  • Understanding of large language model architectures and core components.

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