Research Scientist / Research Engineer, Search - Knowledge Graphs
OpenAI · San Francisco
About this role
## About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Their goal is to advance the science and data that enable training and scaling efforts—especially for future frontier models. Within Foundations, the **Search team** builds agentic search by co-designing model–system interfaces with the core search stack: **serving, indexing, and retrieval**. The team researches and develops large-scale systems that transform and index vast corpora so models can find and reason over information more effectively. ## About the Role OpenAI is looking for a **Researcher** to work on **semi-structured knowledge graphs** within Search. You’ll research and develop methods for mining structured information from **heterogeneous, unstructured, and semi-structured web content**, making it more accessible and useful to AI models. **Core questions include:** - What structure helps models find and use information? - How can we extract it reliably at web scale? - How do we measure whether it improves model reasoning and question answering? - How do we design the system to be optimizable end-to-end? You’ll collaborate across research, data, and systems to explore how advances in AI and compute can improve how knowledge is extracted, organized, and retrieved. This work supports retrieval across OpenAI products and internal research efforts, with opportunities for scientific publication. ## Responsibilities - Develop methods to extract and connect structured information across diverse web sources (entities, attributes, and relationships). - Build scalable approaches for transforming noisy, inconsistent content into useful knowledge representations. - Explore how models and compute can improve extraction quality and reduce manual effort in building knowledge systems. - Design evaluations that measure both the quality of extracted knowledge and its usefulness for retrieval and model reasoning. - Partner with researchers and engineers to integrate structured knowledge into Search and use model performance to guide improvements. ## You Might Thrive in This Role If You Have - Deep experience in knowledge extraction, knowledge graphs, entity resolution, or related work deriving structure from large, heterogeneous datasets. - Strong machine learning and research skills, including experience developing and evaluating methods for real-world data. - A track record of building or scaling data and ML systems—especially for web-scale extraction, indexing, or retrieval. - Experience independently driving open-ended technical problems from initial idea through experimentation and implementation. - A first-principles approach to using AI and compute, with willingness to rethink established methods as model capabilities improve. - A strong interest in how information representation affects what models can find, understand, and use. ## About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring general-purpose AI benefits all of humanity. They push the boundaries of AI capabilities while focusing on safe deployment and human needs. OpenAI is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.
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