Senior Machine Learning Manager, AI, Search & Knowledge Platforms

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$237,600–$401,700 / yr
Posted
9 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k
This role $320k
$159k most similar roles pay here $428k

This role pays more than 97% of similar roles. Most pay $202,800–$258,050 — the shaded band above. At the midpoint, this role pays about $320k versus about $230k for comparable roles.

Based on 239 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Manager, AI, Search & Knowledge Platforms

As the Sr. Machine Learning Manager, AI, Search & Knowledge Platforms, you will join the Search & Recommendation Platforms team to lead a group of backend infrastructure and machine learning engineers. You will own the technical roadmap for large-scale indexing and serving systems while driving execution against strict scale, reliability, latency, and cost targets. Your daily work involves managing teams across multiple sites, overseeing distributed document processing, storage, and retrieval, and partnering with cross-functional teams to prioritize development. The role focuses on infrastructure for LLM powered and agentic search, specifically involving indexing, semantic and multimodal retrieval, query understanding, model inference, and agentic orchestration. You will utilize expertise in algorithms, data structures, RAG, and evaluation infrastructure to manage petabytes of data and real-time evaluation pipelines within a high-throughput environment designed to serve billions of documents.

What you'll do

  • Lead and manage a team of backend infrastructure and machine learning engineers.
  • Define the technical roadmap for large-scale indexing and serving systems.
  • Drive execution against aggressive scale, reliability, latency, and cost targets.
  • Oversee the processing and retrieval of billions of documents across petabytes of data.
  • Manage the architecture for LLM-powered search, including semantic and multimodal retrieval.
  • Develop real-time evaluation pipelines to measure search quality and performance.
  • Partner with cross-functional teams to prioritize product features and infrastructure improvements.
  • Drive developer velocity and quality improvements across large engineering organizations.

What we're looking for

  • BS, MS, or Ph.D. in Computer Science or a related field.
  • Deep expertise in web scale indexing systems, including distributed document processing, storage, and retrieval.
  • Strong coding skills with a background in algorithms and data structures.
  • 10+ years of experience leading and driving complex, large scale search infrastructure projects.
  • Experience managing managers and engineering teams, including hiring, growth, and performance management.
  • Track record of scaling engineering teams across multiple sites and geographies.
  • Strong technical judgment to drive architecture, execution, and cross-functional alignment across complex programs.
  • Experience with RAG, agentic search, LLM model inference, and evaluation infrastructure for indexing systems.

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