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
19 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $252k
$156k most similar roles pay here $318k

This role pays more than 83% of similar roles. Most pay $181,140–$246,150 — the shaded band above. At the midpoint, this role pays about $252k versus about $214k 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 1780 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1441 roles with salary data.

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View all roles at Apple Inc

At a glance

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

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As a Staff ML Engineer at Apple Cloud AI Platform, you will join a dynamic team responsible for developing the developer tooling, platforms, systems, and experiences that power intelligent solutions across Apple’s consumer products. Your role involves collaborating closely with internal product teams to translate customer requirements into production-ready AI-driven systems, leveraging your expertise in full-stack engineering, data, and ML platforms. 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 responsibilities include building advanced ML workflows, influencing the platform roadmap based on customer needs, and integrating with various cloud systems such as orchestration, storage, and monitoring services. Success in this role requires strong engineering fundamentals, applied ML awareness, and the ability to deliver solutions in fast-evolving environments.

Skills

Python React Node.js Webpack Spark Ray gRPC GraphQL REST Kafka CI/CD Docker AWS Azure GCP SDK CLI UI API Cloud Distributed Systems Containerization

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 interfaces to support scalable machine learning workloads in cloud environments.
  • Influence platform roadmaps based on lifecycle needs of developer experience, scale, reliability, and governance.
  • Partner with customer teams to identify integration challenges and drive technical decisions across the ML lifecycle.

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, and CI/CD pipelines
  • Familiarity with frontend frameworks for developer-facing UIs and internal platform tooling (React, Node.js)
  • Strong communication skills to translate customer requirements into technical direction and drive alignment
  • Ability to build advanced ML workflows including distributed training, feedback loops, observability pipelines
  • Experience building developer platforms, SDKs, CLIs, agents, or internal tools

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