Senior Machine Learning Engineer, Ads Relevance & Quality

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$216,200–$324,800 / yr
Posted
77 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $270k
$168k most similar roles pay here $342k

This role pays more than 85% of similar roles. Most pay $197,925–$254,750 — the shaded band above. At the midpoint, this role pays about $270k versus about $226k 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 · Senior Machine Learning Engineer, Ads Relevance & Quality

Role Posting Log in to save

Senior Machine Learning Engineer - Ads Relevance & Quality joins the Ads Relevance and Quality team to ensure high-quality, trustworthy ad experiences. This role involves designing and implementing machine learning models to evaluate ad relevance, detect offensive or policy-violating content, and optimize user satisfaction across billions of queries. The engineer will build NLP and multi-modal models for semantic query understanding, keyword-to-ad matching, and relevance scoring while collaborating with product and policy teams to translate integrity standards into measurable objectives. Key technical requirements include expertise in Transformer-based architectures like BERT or DistilBERT, experience fine-tuning Large Language Models for classification, and proficiency in Python and SQL. The role addresses the challenge of maintaining content quality and trust within ad systems using large-scale, privacy-preserving datasets to identify and operationalize new signals for production deployment.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Machine Learning NLP BERT DistilBERT Large Language Models PyTorch TensorFlow Python SQL Scala Java A/B Testing Experimentation Frameworks Multi-modal Models Semantic Matching Content Moderation Search Ranking

What you'll do

  • Design and implement machine learning models to evaluate and improve ad relevance, trust, and quality.
  • Build NLP and multi-modal models to detect offensive or policy-violating content at scale.
  • Develop methods for semantic query understanding, ads understanding, and keyword-to-ad matching.
  • Translate content integrity standards into measurable machine learning objectives with product and policy teams.
  • Identify and operationalize new quality signals using large-scale, privacy-preserving datasets.
  • Conduct offline and online experiments to measure impacts on user trust and satisfaction.
  • Deploy models at production scale in collaboration with infrastructure and moderation teams.

What we're looking for

  • Minimum of 4 years of experience applying machine learning at scale in ad tech, content moderation, search ranking, or recommendation systems.
  • Optional preference for 7+ years of experience in the same domains.
  • Master’s degree in Computer Science, Machine Learning, NLP, or a related technical field.
  • Optional preference for a PhD in Computer Science, Machine Learning, NLP, or a related technical field.
  • Strong expertise in natural language processing, including offensive content detection and semantic matching.
  • Experience with Transformer-based architectures and training pipelines in TensorFlow or PyTorch.
  • Familiarity with fine-tuning Large Language Models (LLMs) for classification, content moderation, or semantic relevance.
  • Proficiency in Python and SQL, along with experience in Scala or Java.

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