Senior Machine Learning Engineer, AI, SIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / 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 $250k
$154k most similar roles pay here $336k

This role pays more than 83% of similar roles. Most pay $177,012–$246,150 — the shaded band above. At the midpoint, this role pays about $250k 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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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 speed for both on-device and server environments. Your daily tasks include pushing the boundaries of existing deep learning technologies and creating innovative techniques to enhance system efficiency. Ideal candidates possess extensive experience with PyTorch internals and high-performance ML infrastructure, along with a solid understanding of software–hardware co-design principles. This role requires strong Python programming skills and familiarity with parallel training libraries like PyTorch Distributed, DeepSpeed, or FairScale. You will work within a multidisciplinary team dedicated to advancing Apple's centralized ML platform, contributing to groundbreaking modeling technologies that impact billions of users worldwide.

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 training technologies to enhance performance.
  • Create new techniques to optimize system constraints for large-scale models.
  • Develop high-performance ML infrastructure from on-device to server environments.
  • Maintain state-of-the-art machine learning frameworks like PyTorch.
  • Contribute to open-source projects and share advancements in ML technology.

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 AI/ML-optimized runtime stacks and on-device inference models.

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