Senior ML Infrastructure Engineer, Proactive

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $237k
$133k most similar roles pay here $320k

This role pays more than 75% of similar roles. Most pay $151,475–$236,900 — the shaded band above. At the midpoint, this role pays about $237k 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

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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 hundreds of millions of users worldwide. Your responsibilities include training, qualifying, deploying models, refining systems and APIs, adapting new model architectures to execution environments, and defining policies in conjunction with leadership. You must have a strong background in architecting data or ML platforms and experience with large language models and cutting-edge research. Proficiency in multi-threaded programming and synchronization is essential, along with expertise in software design and problem-solving. Additional preferred skills include building production feature engineering pipelines and working with distributed data systems, though macOS/iOS development experience is not mandatory but beneficial.

Skills

Python Java C++ LLMs Generative AI Docker Kubernetes CI/CD Terraform AWS PostgreSQL Redis GraphQL RESTful APIs Scalability Multi-threading Synchronization Data Pipelines Distributed Systems

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.
  • Integrate cutting-edge research into practical applications used by millions daily.

What we're looking for

  • Extensive experience in designing and building large-scale machine learning platforms.
  • Proven track record of working with Large Language Models (LLMs) and generative AI technologies.
  • Strong background in software design, problem-solving, and debugging complex systems.
  • Ability to translate cutting-edge research into practical applications for industry use.
  • Deep expertise in multi-threaded programming and synchronization techniques.

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