AI Engineer, Personalization
Core
Build personalization systems, recommendation engines, and real-time content delivery pipelines to serve individual users based on behavioral data.
Role type
Senior Machine Learning Engineer (Recommendation Systems)
Builds
Production-grade personalization systems, feature engineering pipelines, and exploration-exploitation frameworks.
Domain
Internet search and discovery / Machine Learning
Deliverable
production ML models
Required skills
Sequential modeling (RNNs, attention), recommendation systems, online learning, contextual bandits, reinforcement learning, production ML engineering, feature engineering, model evaluation
Preferred skills
Privacy-preserving behavioral modeling, published research in recommendation/online learning, open source contributions
Technologies
Recurrent architectures, attention-based models, contextual bandits, reinforcement learning frameworks
Responsibilities
Design and operate feature engineering pipelines for high-volume behavioral streams; implement exploration-exploitation frameworks; build feedback infrastructure for continuous model improvement; design evaluation frameworks to distinguish personalization quality from overfitting.
Seniority
Senior, hands-on IC