Machine Learning Engineering Manager, Ads Recommendations

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$206,200–$356,400 / yr
Posted
80 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $246k
This role $281k
$173k $376k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $211,200–$279,950 — the blue band above. At the midpoint, this role pays about $281k versus about $246k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineering Manager, Ads Recommendations

The Machine Learning Engineering Manager - Ads Recommendations will lead a team within the Advertising Platforms group to build the next generation of advertiser recommendation engines. This role involves defining technical strategies, designing sophisticated privacy-compliant algorithms, and architecting scalable intelligence systems to help advertisers optimize campaign performance. You will manage the end-to-end development of innovative capabilities, including leveraging GenAI and agentic approaches, while influencing roadmaps for campaign and auction optimization. Key responsibilities include mentoring engineers, executing A/B tests, and ensuring reliable model deployment at scale. Required technical skills include proficiency in Python or Java, SQL, and databases, alongside deep expertise in machine learning, statistics, and quantitative optimization. The work focuses on solving complex problems in ad network behavior and improving monetization potential across the platform.

What you'll do

  • Define and implement the technical strategy for building a next-generation advertiser recommendation engine.
  • Leverage GenAI and agentic approaches to deliver scalable machine learning capabilities.
  • Shape the strategy and roadmap for campaign and auction optimization systems.
  • Design and analyze sophisticated, privacy-compliant algorithms to provide incremental performance improvements.
  • Execute and analyze A/B tests and pilots to improve advertiser-facing applications.
  • Architect and scale intelligence systems while addressing operational concerns and performance optimizations.
  • Lead, mentor, and grow a team of engineers by setting technical direction and execution cadence.

What we're looking for

  • 8+ years of experience in machine learning, statistics, and quantitative optimization.
  • At least 2-3 years as a tech lead or at least 1 year as an engineering manager.
  • Track record of leading machine learning engineering teams from design to implementation.
  • Deep understanding of modern machine learning techniques, statistics, and quantitative optimization.
  • Experience building GenAI and agentic systems.
  • Hands-on experience with Python or Java in a production environment.
  • Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
  • BS, MS, or PhD in AI, ML, Mathematics, Computer Science, or a related field (MS/PhD preferred).

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