Research Scientist / Research Engineer - Web Understanding and Structured Retrieval, Search

Highlights

• Research semi-structured knowledge graphs to power agentic search at web scale.
• Transform noisy web content into knowledge that improves model reasoning.
• Advance large-scale indexing and retrieval across OpenAI products.

What they offer

• Equity

Ideal candidate

Independent researcher who loves open-ended problems and rethinks knowledge systems from first principles to make web-scale information more useful for model reasoning.

Requirements

• Deep experience in knowledge extraction, knowledge graphs, entity resolution, or deriving structure from large heterogeneous datasets
• Strong machine learning and research skills developing and evaluating methods on real-world data
• Track record building or scaling data and ML systems for web-scale extraction, indexing, or retrieval
• Experience independently driving open-ended technical problems from idea through experimentation to implementation
• First-principles approach to using AI and compute, willing to rethink established methods as capabilities improve
• Strong interest in how information representation shapes what models can find and use