Research Scientist / Research Engineer, Search - Knowledge Graphs

📋 Description

• Develop methods to extract and connect structured information across diverse web sources, including
• Build scalable approaches for transforming noisy, inconsistent content into useful knowledge
• Explore how models and compute can improve extraction quality and reduce the manual work involved
• Design evaluations that measure both the quality of extracted knowledge and its usefulness for
• Partner with researchers and engineers to integrate structured knowledge into Search and use model

🎯 Requirements

• Deep experience in knowledge extraction, knowledge graphs, entity resolution, or related work that
• Strong machine learning and research skills, with experience developing and evaluating methods for
• A track record of building or scaling data and ML systems, particularly for web-scale extraction
• Experience independently driving open-ended technical problems from an initial idea through
• A first-principles approach to using AI and compute, with a willingness to rethink established
• A strong interest in how the representation of information shapes what models can find, understand

🎁 Benefits

• Opportunities for scientific publication
• Equity
• Competitive salary