14 hours ago
Responsibilities
- Design and deploy machine learning models and systems for ad relevance, content quality, offensive-content detection, and user satisfaction.
- Apply NLP and semantic matching techniques to understand queries and evaluate advertising content.
- Train and fine-tune Transformer-based architectures and large language models for classification, moderation, and relevance tasks.
- Develop and use quality, fairness, experimentation, and A/B testing frameworks.
- Debug production performance and translate trust and safety goals into deployable solutions.
- Collaborate with engineers and researchers to improve advertising experiences across Apple Services.
Requirements
- At least 4 years of experience applying machine learning at scale in ad tech, content moderation, search ranking, or recommendation systems.
- Strong NLP expertise, including offensive-content detection and semantic matching.
- Experience with Transformer architectures such as BERT and DistilBERT and training pipelines in TensorFlow or PyTorch.
- Familiarity with fine-tuning large language models for downstream classification, content moderation, or semantic relevance tasks.
- Familiarity with quality and fairness evaluation frameworks, including precision, recall, coverage, and policy alignment.
- Hands-on experience with A/B testing, experimentation frameworks, and production performance debugging.
- Proficiency in Python and SQL.
- Strong problem-solving and communication skills.
- Required MS in Computer Science, Machine Learning, NLP, or a related technical field.
- Preferred: 7+ years of relevant machine learning experience, a PhD in a related technical field, and experience with Scala or Java.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.