Senior ML Infrastructure Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
160 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $255k
$123k most similar roles pay here $346k

This role pays more than 88% of similar roles. Most pay $144,350–$247,053 — the shaded band above. At the midpoint, this role pays about $255k versus about $196k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior ML Infrastructure Engineer

As a Senior ML Infrastructure Engineer, Proactive, you will join the Intelligence Platform team to build systems that enable generative AI, graph machine learning, and private learning across various operating systems. You will be responsible for designing and refining systems and APIs for Machine Learning and Generative AI while collaborating with internal teams to train, qualify, deploy, and serve models. Your daily work involves adapting new model architectures to specific execution environment constraints and translating cutting-edge research into tangible applications. The role requires expertise in multi-threaded programming, synchronization, and building data or machine learning platforms. You may also utilize skills in distributed data systems, production feature engineering pipelines, and macOS/iOS development. This role serves as a central nervous system for processing information to power next-generation features across the company's ecosystem of applications and services.

What you'll do

  • Design and build the core platform infrastructure for machine learning, LLMs, and generative AI.
  • Develop and refine systems and APIs specifically for machine learning and generative AI capabilities.
  • Train, qualify, deploy, and serve models across various Apple operating systems.
  • Adapt new model architectures to meet specific execution environment constraints.
  • Translate cutting-edge research into tangible applications for millions of users.
  • Build production feature engineering pipelines and distributed data systems.
  • Solve complex problems involving multi-threaded programming and synchronization.

What we're looking for

  • Excellent software design, problem solving, and debugging skills.
  • Experience architecting and building data or machine learning platforms.
  • Experience building with LLMs or other generative models.
  • Ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
  • Deep understanding of multi-threaded programming and synchronization.
  • Experience building production feature engineering pipelines is preferred.
  • Experience with distributed data systems is preferred.
  • Experience with macOS/iOS development is preferred.

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