AI Engineer, User Intelligence
Core
Build large-scale graph systems and dynamic analytics pipelines to model user relationships and behavioral patterns for a user-centric search and transaction platform.
Role type
Senior IC graph machine learning engineer
Builds
Production-grade graph neural network architectures, graph maintenance/serving pipelines, and privacy-preserving graph infrastructure
Domain
Internet search, user intelligence, graph machine learning
Deliverable
production ML models
Required skills
Graph machine learning, graph neural networks (GNNs), spectral methods, graph embeddings, community detection, PyTorch Geometric/DGL, production system engineering, research-to-production translation
Preferred skills
PhD in graph ML/network science, research publications in dynamic networks, privacy-preserving techniques for behavioral data
Technologies
PyTorch Geometric, DGL
Responsibilities
Design and operate dynamic graph analytics pipelines for pattern detection; build graph neural network architectures to learn user representations; design efficient graph maintenance and serving pipelines; build privacy-preserving graph infrastructure; apply graph-based techniques to enterprise organizational data scenarios
Seniority
Senior, hands-on IC