Senior Machine Learning Engineering Manager – Ads Predictions

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$228,100–$393,800 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $311k
$156k most similar roles pay here $419k

This role pays more than 92% of similar roles. Most pay $197,925–$259,212 — the shaded band above. At the midpoint, this role pays about $311k versus about $229k 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 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 Engineering Manager – Ads Predictions

As a Senior Machine Learning Engineering Manager for Ads Predictions, you will lead a high-performing team of ML engineers and applied scientists to develop and scale machine learning models that predict user interactions with ads. Your day-to-day involves collaborating across engineering and product teams to deliver end-to-end solutions from ideation through production, optimizing large-scale training and inference pipelines, and deploying state-of-the-art models for ad quality optimization. You will drive A/B experimentation, ensure robust system design focusing on scalability and privacy-preserving techniques, and mentor team members while communicating complex technical insights to senior leadership. This role requires extensive experience in Ad Tech, hands-on development with Python or Java, and a deep understanding of machine learning principles and large-scale data systems.

What you'll do

  • Lead the development and deployment of state-of-the-art machine learning models for ads quality optimization.
  • Own the full lifecycle of ML systems from data to productionization at scale.
  • Drive A/B experimentation strategy, translating complex data insights into actionable product recommendations.
  • Optimize training, inference, and resource utilization for large-scale ML workloads in collaboration with infrastructure teams.
  • Champion privacy-preserving machine learning approaches in model development and system design.

What we're looking for

  • Over 10 years of experience leading ML teams and working with large datasets.
  • Deep expertise in developing and deploying state-of-the-art machine learning models at scale.
  • Strong background in privacy-preserving machine learning techniques and system design.
  • Hands-on experience in building and optimizing training, inference pipelines for ML workloads.
  • Proven ability to mentor and develop team members while fostering a culture of innovation.
  • PhD or MS in AI/ML/Mathematics/CS or related field required.

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