# Research Engineer, Retrieval & Search, Applied Engineering

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $293k – $585k/yr
**Skills:** Machine Learning, Vector Databases, Search Indices, Retrieval Algorithms, Production Ml Systems, Internet-Scale Search, Document Search, Enterprise Search, Knowledge Retrieval, Web-Scale Search
**Posted:** 2024-03-20

> Develop and deploy retrieval and search algorithms for OpenAI's API and ChatGPT, collaborating with research teams on production systems for millions of users. Requires experience with ML systems, vector databases, and large-scale search.

## Job Description

## Responsibilities
- 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.

## Requirements
- Extensive prior experience building and maintaining production machine learning systems.
- Prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.
- 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.

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