Research Scientist / Research Engineer, Search - Knowledge Graphs

Details

The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. The team advances the science and data that enable training and scaling efforts, with a focus on future frontier models, including data, scaling laws, optimization techniques, model architectures, model and search co-design, and efficiency improvements.

The Search team builds agentic search by co-designing model-system interfaces with the core search stack, including serving, indexing, and retrieval. The team develops large-scale systems that transform and index vast corpora, enabling models to find and reason over information effectively.

The role focuses on researching and developing methods for mining structured information from heterogeneous, unstructured, and semi-structured web content, making that information more accessible and useful to AI models. The work will support 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, including 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 the manual work involved 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.

Requirements

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

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks for applicants will be administered in accordance with applicable law.

Benefits

• Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave, medical leave, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may be provided, such as charitable donation matching and wellness stipends.

The base pay offered may vary depending on market location, job-related knowledge, skills, and experience. Total compensation also includes equity and performance-related bonuses for eligible employees.