Senior Machine Learning Engineer, AI, SIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $250k
$153k most similar roles pay here $336k

This role pays more than 80% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $250k 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 performance and scalability of Apple’s AI-driven experiences across both device and server environments. This role involves pushing the boundaries of existing training technologies and creating innovative techniques to optimize system efficiency for large-scale models. You will work closely with a multidisciplinary team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Ideal candidates possess deep expertise in PyTorch internals, high-performance ML infrastructure, and software–hardware co-design principles, alongside experience with parallelization algorithms and distributed training libraries like PyTorch Distributed, DeepSpeed, or FairScale. Your contributions will be deployed on impactful projects across various teams within Apple Intelligence products and may include opportunities to open-source your work.

Skills

Python PyTorch PyTorch_Distributed DeepSpeed FairScale LLM_architectures MLSys NeurIPS software_hardware_co_design parallelization_algorithms high_performance_ML_infrastructure

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.
  • Work on large-scale model training and parallelization algorithms to improve scalability.

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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