Senior Machine Learning Engineer - Ads Auction

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
88 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $250k
$163k most similar roles pay here $335k

This role pays more than 74% of similar roles. Most pay $183,713–$249,881 — the shaded band above. At the midpoint, this role pays about $250k versus about $217k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer - Ads Auction

As a Senior Machine Learning Engineer on the Ads Auction team, you will design and optimize the core auction system that powers our advertising platform to deliver high-quality ad experiences while balancing the needs of advertisers, users, and Apple. Your day-to-day responsibilities include developing production code for advanced ad recommendation systems, conducting large-scale experiments, and collaborating with cross-functional teams to drive innovation and strategic outcomes. You will leverage your expertise in auction theory, machine learning, and scalable architectures to enhance our ad network's performance at a global scale. Essential skills include proficiency in Java or Python, experience with distributed frameworks like Spark and Hadoop, and the ability to formulate research hypotheses and advocate for R&D objectives. This role demands deep knowledge of large-scale systems and a strong background in applied machine learning, making it ideal for those passionate about advancing the state-of-the-art in ad delivery technology.

What you'll do

  • Design and optimize the core auction system for the advertising platform.
  • Develop production code to generate high-quality ad recommendations.
  • Lead innovation by applying advanced techniques to improve the ad network.
  • Work with product management to prioritize an innovation roadmap across domains.
  • Conceive, develop, and deliver state-of-the-art capabilities that differentiate products.

What we're looking for

  • 5+ years of experience in online advertising, marketplace design, or large-scale recommendation/auction systems.
  • Strong background in auction theory, mechanism design, and machine learning with production implementation skills.
  • Deep knowledge of experimental design and online experimentation at scale.
  • Ability to formulate research hypotheses and advocate for R&D objectives to executive leadership.
  • Experience contributing to top-tier research conferences and publications.
  • Proficiency in Java or Python and familiarity with distributed frameworks like Spark or Hadoop.

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