Senior ML Infrastructure Engineer, Proactive

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
49 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 $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

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The Senior ML Infrastructure Engineer role at Apple’s Intelligence Platform team involves designing and building the central platform that enables state-of-the-art technologies such as generative AI, graph machine learning, and private learning for hundreds of teams across the company. This senior engineer will collaborate with various internal teams to train, qualify, deploy, and serve models while also refining systems and APIs for ML and Generative AI. They must adapt new model architectures to execution environments and work closely with leadership to define policies that impact millions of users daily. The ideal candidate has a strong background in architecting data or machine learning platforms, experience with large language models, and expertise in multi-threaded programming. Familiarity with production feature engineering pipelines, distributed data systems, and macOS/iOS development is beneficial. This role demands proficiency in designing scalable and robust ML infrastructure to support next-generation user experiences on Apple’s operating systems.

Skills

Python Java LLMs Generative AI Docker Kubernetes CI/CD PostgreSQL Redis Apache Kafka AWS Azure Git Jenkins Prometheus Grafana MLOps Scalability Security

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 machine learning and generative AI systems.
  • Integrate industry-leading research into scalable, production-ready solutions.

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.
  • Deep expertise in multi-threaded programming and synchronization techniques.
  • Experience in collaborating across multiple teams for model training and deployment.

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