Senior Machine Learning Engineer, Proactive - Apple Intelligence Data Platform

Apple Inc

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $199k
$125k most similar roles pay here $277k

This role pays less than 68% of similar roles. Most pay $183,675–$249,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $217k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

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

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Join the Apple Intelligence Data Platform team as a Senior Machine Learning Engineer to build innovative generative AI experiences that empower millions of users daily. You will work on developing scalable, privacy-conscious ML systems for features like Siri Suggestions and the Shortcuts app, focusing on designing and deploying agent systems that understand user context and personal knowledge. Your day-to-day involves collaborating with various engineering teams at Apple to integrate vector databases, knowledge graphs, semantic search, and RAG systems into exciting new intelligence features. Ideal candidates have hands-on experience in these areas and proficiency in languages like Python, Go, Java, C++, or Swift, along with strong software design and problem-solving skills. This role offers the chance to shape the next generation of personal, privacy-preserving intelligence for Apple users.

Skills

Python Go Java C++ Swift Knowledge_Graphs RAG_Systems Vector_Databases LLMs Machine_Learning Deep_Learning Information_Retrieval NLP

What you'll do

  • Design and build scalable agent systems that understand user context and personal knowledge.
  • Develop foundational components for on-device and cloud-based intelligence features.
  • Integrate vector databases, knowledge graphs, and semantic search into AI platforms.
  • Optimize generative AI inference and prompt strategies to enhance user experiences.
  • Collaborate with cross-functional teams to ship innovative Apple Intelligence features.

What we're looking for

  • 5+ years of experience in relevant technical roles
  • Bachelor's Degree or higher in Computer Science, AI, ML, Information Retrieval, Data Science
  • Expertise in Knowledge Graphs, RAG systems, Vector databases, and LLM integration
  • Proficiency in Python, Go, Java, C++, or Swift
  • Strong software design, problem-solving, and collaborative skills
  • Ability to translate product requirements into technical tasks in ML modeling and engineering

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