Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval
Core
Building content understanding systems and large-scale infrastructure for near real-time signal updates to power retrieval, prediction, and relevance across Apple's advertising ecosystem.
Role type
Staff Machine Learning Engineer (Ads Signals Intelligence)
Builds
ML-driven signal platforms for ad retrieval, creative ranking, and marketplace optimization across Apple Services (App Store, Apple News, MLS Season Pass)
Domain
Advertising technology, Information Retrieval, NLP, Multimodal Learning
Deliverable
production ML models
Required skills
LLM fine-tuning, knowledge graph construction, semantic search, multimodal representation learning, statistical modeling, optimization, Python, PyTorch/TensorFlow
Preferred skills
Ad tech domain knowledge (auction modeling, targeting, attribution), MS or PhD in CS/ML/NLP
Technologies
PyTorch, TensorFlow, LLMs, Knowledge Graphs
Responsibilities
Design and scale ML systems for semantic signal extraction; Contribute to retrieval and ranking pipelines; Fine-tune LLMs for NLP tasks; Construct knowledge graphs and entity linking systems; Work with multimodal data for cross-domain signal representations; Build core components for content understanding platforms; Own experimentation and validation of signal pipelines at massive scale
Seniority
Staff, hands-on IC with strategic impact
