Machine Learning Engineer, Apple Intelligence Data Platform - Proactive

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $199k
$124k most similar roles pay here $288k

This role pays less than 69% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $224k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Apple Intelligence Data Platform - Proactive

As a Senior Machine Learning Engineer at Apple Intelligence Data Platform, you will join a collaborative team responsible for developing scalable, privacy-conscious ML systems that power key intelligence features like Siri Suggestions and the Shortcuts app. Your day-to-day responsibilities include designing, building, and deploying foundational platforms that personalize on-device experiences and sync across various Apple devices. You will work closely with multiple engineering teams to integrate vector databases, knowledge graphs, semantic search, and generative AI technologies into these systems. Essential skills for this role include expertise in Python, Go, Java, C++, or Swift, along with a deep understanding of machine learning algorithms and experience in optimizing runtime systems for production environments. This position offers the opportunity to shape the next generation of personal, privacy-preserving intelligence solutions used by millions of users daily.

What you'll do

  • Design and build scalable machine learning systems for on-device intelligence.
  • Develop foundational platforms that personalize Siri assistant experiences across devices.
  • Integrate vector databases and knowledge graphs to enhance user context understanding.
  • Optimize inference systems for efficient deployment of ML models in production.
  • Collaborate with cross-functional teams to support data analytics and instrumentation.
  • Design and implement retrieval-augmented generation (RAG) systems for AI features.

What we're looking for

  • 5+ years of experience in machine learning and AI systems development.
  • Bachelor's degree or higher in a relevant technical field.
  • Expertise in building on-device platforms, data pipelines, and frameworks.
  • Experience with Knowledge Graphs, RAG systems, vector databases, and LLM integration.
  • Proficiency in Python, Go, Java, C++, or Swift programming languages.
  • Deep understanding of machine learning and deep learning algorithms and their optimization.
  • Strong software design, problem-solving, and collaborative skills including communication.

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