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# Senior Machine Learning Engineer - Ads Relevance & Quality

- **Company:** ADS APPLE VALLEY, INC.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, SQL Databases, Pytorch, Large Language Models, Information Technology, GPT
- **Published:** October 21, 2026
- **Apply:** https://www.dice.com/job-detail/9cffab74-e900-4035-a745-4acf827da22f

## About the Role

4+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems

Strong expertise in natural language processing, including offensive content detection, semantic matching

Experience with Transformer-based architectures (e.g., BERT, DistilBERT) and training pipelines in TensorFlow or PyTorch

Familiarity with fine-tuning Large Language Models (LLMs) for downstream tasks such as classification, content moderation, or semantic relevance

Familiarity with quality and fairness evaluation frameworks (precision, recall, coverage, policy alignment, etc.)

Hands-on experience with A/B testing, experimentation frameworks, and performance debugging in production

Proficiency in Python and SQL

Strong problem-solving and communication skills with a focus on translating abstract trust/safety goals into deployable solutions

MS in Computer Science, Machine Learning, NLP, or a related technical field

Preferred Qualifications

7+ years of experience applying machine learning at scale in domains such as ad tech, content moderation, search ranking, or recommendation systems

PhD in Computer Science, Machine Learning, NLP, or a related technical field

Additional experience in Scala or Java

## Description

Apple's Ads team is seeking a highly skilled and motivated Machine Learning Engineer to join the Ads Relevance and Quality team. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction.

You'll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions.