Director of Algorithms, Ads Engineering

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$311,100–$496,900 / yr
Posted
122 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $248k
This role $404k
$152k most similar roles pay here $534k

This role pays more than 96% of similar roles. Most pay $214,000–$281,600 — the shaded band above. At the midpoint, this role pays about $404k versus about $248k 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 · Director of Algorithms, Ads Engineering

As the Director of Algorithms, Ads Engineering, you will lead a multidisciplinary organization of engineering managers, applied scientists, and machine learning engineers to power the intelligence engine behind the advertising ecosystem. You will define the strategic vision and technical roadmap for the entire algorithms funnel, specifically focusing on retrieval, ranking, matching, auction, and budget optimization models. Your daily work involves translating state-of-the-art research into reliable production capabilities while navigating privacy constraints. The role requires deep expertise in signal processing, predictive modeling like CTR/CVR, and modern techniques including embeddings, transformer architectures, distillation methods, and reinforcement learning. You will solve complex algorithmic problems to improve advertiser outcomes and user relevance within a high-throughput, low-latency environment. This position addresses the core challenge of balancing research innovation with operational excellence in a large-scale advertising marketplace.

What you'll do

  • Define the strategic vision and technical roadmap for retrieval, ranking, matching, auction, and budget optimization models.
  • Translate state-of-the-art machine learning models into reliable, production-scale capabilities across a complex ecosystem.
  • Drive execution plans that balance research innovation with operational excellence and launch readiness.
  • Collaborate with product leaders to translate business objectives into systems that optimize advertiser outcomes and user relevance.
  • Partner with data teams to define success metrics and rigorous experimentation frameworks for algorithmic decisions.
  • Manage, mentor, and grow a multidisciplinary team of engineering managers and senior technical individual contributors.

What we're looking for

  • 15+ years of professional experience in Machine Learning, Applied Science, or Software Engineering.
  • 10+ years of engineering leadership experience, including managing other managers and senior/staff-level individual contributors.
  • Deep technical expertise in the algorithms funnel, including signal processing, candidate matching, predictive modeling, and ranking.
  • Experience with modern techniques such as embeddings, transformer architectures, distillation methods, and reinforcement learning.
  • Extensive experience building, deploying, and scaling high-throughput, low-latency ML systems in production environments.
  • Exceptional communication skills to build consensus and articulate technical strategies to both technical and non-technical stakeholders.
  • A Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
  • Experience with privacy-enhancing technologies (PETs) or building ML systems under strict privacy constraints.

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