Staff Software Engineer, Apple Cloud AI Platform

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$201,300–$302,200 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $252k
$152k most similar roles pay here $318k

This role pays more than 88% of similar roles. Most pay $173,237–$238,737 — the shaded band above. At the midpoint, this role pays about $252k versus about $206k 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 1785 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1446 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, Apple Cloud AI Platform

As a Staff Software Engineer on Apple Cloud AI Platform, you will join a dynamic team focused on developing the developer tooling, platforms, systems, and experiences that power intelligent solutions across Apple’s consumer products. Your primary responsibility is to collaborate closely with internal product teams to translate customer requirements into production-ready AI-driven systems, leveraging your expertise in full-stack engineering, data, ML platforms, and backend systems. You will work on end-to-end solutions from data ingestion through model execution and UI integration, using a variety of programming languages and frameworks without strict constraints. Key tasks include building advanced ML workflows, developing scalable backend services, integrating with platform systems like orchestration and storage, and creating developer tools to enhance the user experience. Success in this role requires strong engineering fundamentals, applied ML knowledge, and the ability to drive technical direction across teams while maintaining customer empathy and adaptability in a fast-evolving environment.

What you'll do

  • Build production-ready AI solutions by translating customer requirements into technical specifications.
  • Design and implement end-to-end ML workflows including data ingestion, training, evaluation, and deployment.
  • Develop backend services and APIs to support scalable machine learning workloads in cloud environments.
  • Influence platform roadmap based on lifecycle needs of developer experience and system reliability.
  • Act as a bridge between product management and customer teams to define best practices and patterns.

What we're looking for

  • 7+ years of industry experience building production systems or full-stack applications (or 5+ with MS/PhD)
  • Proficiency in Python and hands-on experience with modern AI/data infrastructure like Spark, Ray, gRPC, REST
  • Experience with cloud environments, distributed systems, containers, CI/CD pipelines
  • Familiarity with frontend frameworks for developer-facing UIs and internal platform tooling (React, Node.js, Webpack)
  • Strong communication skills to translate customer requirements into technical direction
  • Ability to build developer platforms, SDKs, CLIs, agents, or internal tools
  • Experience building advanced ML workflows including distributed training, evaluation pipelines, observability

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