Apple
Senior Machine Learning Engineer - Ads Relevance & Quality
$185K–$325K
Cupertino, California · Senior · Full-time · Posted Oct 19, 2026
- Experience
- 4+ years required; 7+ years preferred.
- Education
- MS in Computer Science, Machine Learning, NLP, or a related technical field; PhD preferred.
About the job
Build and deploy machine learning systems that improve ad relevance, content quality, and user trust across Apple Ads.
What you'll do
- Design models for ad relevance, trust, and quality, including semantic query understanding and relevance scoring.
- Build NLP and multimodal systems to detect offensive, unsafe, or policy-violating content.
- Evaluate models through experiments and collaborate with product, policy, infrastructure, and moderation teams to deploy them at scale.
What they ask for
- 4+ years applying machine learning at scale in ad tech, content moderation, search ranking, recommendation systems, or related domains.
- Expertise in NLP and experience with Transformer-based architectures and training pipelines in TensorFlow or PyTorch.
- Familiarity with fine-tuning LLMs and quality and fairness evaluation frameworks.
- Hands-on A/B testing and production debugging; proficiency in Python and SQL; MS in a related technical field.
Nice to have
- 7+ years applying machine learning at scale in relevant domains.
- PhD in a related technical field; additional experience in Scala or Java.
Pay
$184,700 and $324,800 (USD, base salary)
Tools
NLP, BERT, DistilBERT, TensorFlow, PyTorch, LLMs, Python, SQL
AI focus
Applied ML, NLP, and multimodal modeling for ad relevance, query and ad understanding, content moderation, and user trust.
Model-written summary · the original posting is authoritative