Research Engineer, Retrieval & Search, Applied Engineering
Description
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. Safety is more important to us than unfettered growth.
About the Role
We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users.
In this role, you will:
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
Qualifications
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
Have prior experience building and iterating on internet-scale search systems
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
.