Senior Machine Learning Engineer, Ads Relevance & Quality

Apple Inc

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 7 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k

This role $255k

$168k $342k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $207,300–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $231k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Ads Relevance & Quality

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The Senior Machine Learning Engineer - Ads Relevance & Quality joins the Ads Relevance and Quality team to ensure high-quality, trustworthy ad experiences. You will design and implement machine learning models to evaluate ad relevance, detect offensive or policy-violating content, and optimize user satisfaction. Day-to-day responsibilities include building NLP and multi-modal models for semantic query understanding, relevance scoring, and keyword-to-ad matching. You will work with large-scale, privacy-preserving datasets to operationalize quality signals and conduct offline and online experiments. Required technical skills include proficiency in Python, SQL, and Transformer-based architectures like BERT or DistilBERT using TensorFlow or PyTorch. You must also have experience fine-tuning Large Language Models for classification and content moderation while applying expertise in ad tech, search ranking, or recommendation systems.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

Skills

Machine Learning NLP Python SQL PyTorch TensorFlow LLMs Transformer BERT DistilBERT Scala Java A/B testing

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, unsafe, 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.
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 partnership with infrastructure and moderation teams.

What we're looking for

MS in Computer Science, Machine Learning, NLP, or a related technical field.
PhD in Computer Science, Machine Learning, NLP, or a related technical field (preferred).
4+ years of experience applying machine learning at scale in ad tech, content moderation, search ranking, or recommendation systems.
7+ years of experience applying machine learning at scale in ad tech, content moderation, search ranking, or recommendation systems (preferred).
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 for classification, content moderation, or semantic relevance.
Proficiency in Python and SQL.
Experience with A/B testing, experimentation frameworks, and performance debugging in production.
Familiarity with quality and fairness evaluation frameworks (preferred).
Additional experience in Scala or Java (preferred).