SENIOR AI ENGINEER, PERSONALIZATION
Core
Build personalization systems combining behavioral modeling, dynamic user representations, and real-time context-aware content delivery to enable users to find what they need without searching.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Personalization systems, recommendation engines, feature engineering pipelines, exploration-exploitation frameworks
Domain
Internet search and discovery / Machine Learning
Deliverable
production ML models
Required skills
Sequential modeling (recurrent architectures, attention-based models), Recommendation systems, Production ML engineering, Exploration-exploitation frameworks (contextual bandits, online learning, RL), Feature engineering pipelines, Model evaluation frameworks
Preferred skills
Privacy-preserving behavioral modeling, Published research in recommendation/online learning, Open source contributions
Technologies
Recurrent architectures, Attention-based models, Contextual bandits, Online learning, Reinforcement learning
Responsibilities
Design and operate feature engineering pipelines for high-volume behavioral event streams; Implement exploration-exploitation frameworks for continuous optimization; Build feedback infrastructure to translate user interactions into model improvements; Design evaluation frameworks to distinguish personalization quality from overfitting
Seniority
Senior, hands-on IC
