Research Scientist / Research Engineer, Search - Knowledge Graphs
Core
Research and develop methods to mine structured information from heterogeneous web content to build semi-structured knowledge graphs for AI models.
Role type
Research Scientist / Research Engineer (Knowledge Graphs & Search)
Builds
Scalable systems for transforming noisy web content into useful knowledge representations for retrieval and model reasoning.
Domain
AI Research, Search, Knowledge Graphs, Web-scale Data Processing
Deliverable
production ML models
Required skills
Knowledge extraction, Knowledge graphs, Entity resolution, Machine learning, Data systems, Web-scale indexing, Retrieval, Evaluation design, System integration
Preferred skills
First-principles approach to AI/compute, Open-ended technical problem solving, Scientific publication
Technologies
N/A
Responsibilities
Develop methods to extract and connect structured information (entities, attributes, relationships) across diverse web sources. Build scalable approaches for transforming noisy content into knowledge representations. Explore how models and compute can improve extraction quality. Design evaluations for extracted knowledge quality and usefulness. Partner with researchers and engineers to integrate knowledge into Search.
