Senior ML Infrastructure Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / yr
Posted
141 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $242k
$125k most similar roles pay here $328k

This role pays more than 73% of similar roles. Most pay $144,350–$251,009 — the shaded band above. At the midpoint, this role pays about $242k versus about $198k 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 building the platform used by internal teams to bring intelligence to their applications and services. Your daily work involves collaborating on training, qualifying, deploying, and serving models while refining systems and APIs for Machine Learning and Generative AI. You must adapt new model architectures to specific execution environment constraints and define policy with leadership. The role requires expertise in multi-threaded programming, synchronization, and building data or machine learning platforms. Preferred skills include experience with distributed data systems, production feature engineering pipelines, and macOS/iOS development to solve complex problems involving large language models and cutting-edge research applications.

What you'll do

  • Design and build the core platform infrastructure for machine learning, LLMs, and generative AI.
  • Develop systems and APIs to support intelligence features across various Apple operating systems.
  • Train, qualify, deploy, and serve machine learning models for internal and external teams.
  • Adapt new model architectures to fit specific execution environment constraints.
  • Translate cutting-edge research into tangible applications for millions of users.
  • Build production feature engineering pipelines and distributed data systems.
  • Implement multi-threaded programming and synchronization for high-performance system operations.

What we're looking for

  • Excellent software design, problem solving, and debugging skills.
  • Background architecting and building data or machine learning platforms.
  • Experience building on LLMs or other generative models.
  • Proven ability to 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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