Senior ML Infrastructure Engineer, Proactive

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $250k
$131k most similar roles pay here $338k

This role pays more than 85% of similar roles. Most pay $151,475–$236,900 — the shaded band above. At the midpoint, this role pays about $250k versus about $194k 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 ML Infrastructure Engineer, Proactive

As a Senior ML Infrastructure Engineer on the Intelligence Platform team, you will collaborate with cross-functional teams to design and build scalable platforms for machine learning and generative AI, enabling cutting-edge technologies like large language models and private learning. Your daily tasks include training, qualifying, deploying, and serving models, refining systems and APIs, adapting new model architectures to execution environments, and defining policies in conjunction with leadership. You will leverage your expertise in software design, problem-solving, and multi-threaded programming to bring industry-leading research to millions of Apple users worldwide, impacting their daily experiences through advanced AI features.

What you'll do

  • Design and build ML infrastructure for deploying models across Apple’s platforms.
  • Refine and develop APIs for Machine Learning and Generative AI technologies.
  • Adapt new model architectures to fit execution environment constraints efficiently.
  • Collaborate on defining policies for ML and generative AI systems at scale.
  • Work with teams to train, qualify, and serve machine learning models globally.

What we're looking for

  • Extensive experience in designing and building large-scale machine learning platforms.
  • Proven track record of working with LLMs and generative models in production environments.
  • Strong background in multi-threaded programming and synchronization techniques.
  • Expertise in software design, problem-solving, and debugging complex systems.
  • Experience collaborating across teams to deploy and serve ML models effectively.

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