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

- Company: OpenAI
- What the company does: Backed by Greylock, Insight and Khosla.
- Company website: https://openai.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $380K to $850K base salary per year (USD)
- Posted: 2026-10-21
- Apply by: 2026-12-05
- Apply: https://jobs.ashbyhq.com/openai/1441816f-6429-426e-8f6d-8e5930a818f9?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/openai-research-scientist-research-engineer-search-knowledge-graphs/

## About the role

We’re 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 that information more accessible and useful to AI models. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 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 ML 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

Tags: Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/openai-research-scientist-research-engineer-search-knowledge-graphs/