Senior ML Infrastructure Engineer, Proactive

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / 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 $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 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 collaboration with leadership. You will leverage your expertise in multi-threaded programming, synchronization, and data or machine learning platform architecture to bring industry-leading research to millions of Apple users worldwide. Preferred skills include experience with production feature engineering pipelines, distributed data systems, and macOS/iOS development.

Skills

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

What you'll do

  • Design and build ML and Generative AI platforms for deployment across Apple.
  • Collaborate on training, qualifying, deploying, and serving machine learning models.
  • Adapt new model architectures to fit execution environment constraints.
  • Define policies with leadership for integrating advanced technologies.
  • Bring cutting-edge research into practical applications used by millions.

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 models.
  • Strong software design, problem-solving, and debugging skills.
  • Ability to translate cutting-edge research into practical applications effectively.
  • Deep expertise in multi-threaded programming and synchronization techniques.

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