Research Engineer, Retrieval & Search, Applied Engineering
About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
What this role actually needs.
Research Engineer, Retrieval & Search, Applied Engineering at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
Day-to-day expectations
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- Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search.
- Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users.
- Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term.
- Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
- Have extensive prior experience building and maintaining production machine learning systems.
- Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases
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- Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search.
- Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users.
- Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term.
- Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
- Have extensive prior experience building and maintaining production machine learning systems.
- Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases
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