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
58 days ago
Freshness
Confirmed live yesterday

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 lead a team within the Advertising Platforms group to build and evolve 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 integration of innovative research, specifically focusing on GenAI and agentic approaches, while influencing roadmaps for auction and campaign optimization. Day-to-day responsibilities include mentoring engineers, executing A/B tests, and ensuring reliable model deployment at scale. Required skills include expertise in machine learning, statistics, and quantitative optimization, alongside proficiency in Python or Java, SQL, and various scripting languages. The role addresses the technical challenge of delivering privacy-compliant, high-performance advertising solutions across platforms like the App Store and Apple News.

What you'll do

  • Define and implement the technical strategy for building next-generation advertiser recommendation engines.
  • Integrate GenAI and agentic approaches to deliver machine learning capabilities at scale.
  • Shape the roadmap and technical strategy for campaign and auction optimization systems.
  • Design and analyze sophisticated, privacy-compliant algorithms to drive incremental improvements.
  • Execute and analyze A/B tests and pilots to improve advertiser-facing applications.
  • Architect and scale intelligence systems while addressing operational performance optimizations.
  • Lead, mentor, and manage a team of engineers to ensure high execution cadence.

What we're looking for

  • BS degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
  • MS or PhD degree in AI, ML, Mathematics, Computer Science, or a related field is 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.
  • Experience 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.

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