Staff ML Engineer, Apple Cloud AI Platform

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
44 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $237k
$156k most similar roles pay here $318k

This role pays more than 71% of similar roles. Most pay $179,832–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $213k 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 · Staff ML 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, spanning data ingestion, model execution, and UI integration. You will leverage your expertise in full-stack engineering, applied ML, and platform thinking to build advanced workflows, influence the platform roadmap based on lifecycle needs, and develop backend services and interfaces for scalable ML workloads. Proficiency in Python, modern AI infrastructure like Spark and Ray, and cloud environments is essential, along with experience in building developer platforms and tooling. This role demands strong communication skills and the ability to drive technical direction across teams in a fast-evolving environment.

Skills

Python React Node.js Webpack Spark Ray gRPC GraphQL REST Kafka Cloud_Environments Distributed_Systems Containers CI/CD_Pipelines SDKs CLIs Developer_Platforms Internal_Tools Docker Terraform

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 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, 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 and drive cross-team alignment
  • Ability to build advanced ML workflows including distributed training, tuning, feedback loops, observability, evaluation pipelines

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