Machine Learning Engineering Manager, Ads Recommendations

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$206,200–$356,400 / yr
Posted
34 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $233k
This role $281k
$164k most similar roles pay here $377k

This role pays more than 84% of similar roles. Most pay $197,981–$267,212 — the shaded band above. At the midpoint, this role pays about $281k versus about $233k 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 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 · Machine Learning Engineering Manager, Ads Recommendations

Machine Learning Engineering Manager - Ads Recommendations will join the Advertising Platforms group to lead a team focused on building the next generation of advertiser recommendation engines. This role involves defining technical strategies, designing sophisticated algorithms, and managing the end-to-end development of systems that help advertisers optimize campaign performance goals. The manager will oversee the creation of privacy-compliant solutions while influencing roadmaps for auction optimization and campaign management. Key responsibilities include executing A/B tests, mentoring engineers, and ensuring reliable model deployment at scale. Candidates must possess expertise in machine learning, statistics, and quantitative optimization, with specific experience in GenAI and agentic systems. Required technical skills include Python or Java, SQL, and database proficiency. The role addresses the core challenge of providing high-performing, privacy-first advertising solutions within the App Store and Apple News ecosystems.

What you'll do

  • Define and implement the technical strategy for building next-generation advertiser recommendation engines.
  • Integrate GenAI and agentic approaches to deliver scalable machine learning capabilities.
  • Shape the roadmap and technical strategy for campaign and auction optimization systems.
  • Design and analyze sophisticated, privacy-compliant algorithms to improve performance metrics.
  • Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser applications.
  • Architect and scale intelligence systems while managing 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

  • BS degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
  • MS/PhD degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field (preferred).
  • 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 for scalable systems.
  • 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.
  • Experience running A/B tests and pilots for sales or advertiser-facing applications.
  • Experience in the online advertising domain (preferred).

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