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Research Engineer, Retrieval & Search, Applied Engineering

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsite$293k–$585k
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At a glance

Highlights

  • Drive retrieval & search efforts powering ChatGPT and API for millions.
  • Deploy search methodologies to production in API and ChatGPT.
  • Explore novel retrieval research shaping medium and long-term strategy.

What they offer

  • Equity

Ideal candidate

An experienced ML engineer who owns problems end-to-end and thrives in fast, ambiguous environments, passionate about bringing retrieval and search advances to millions via real products.

Requirements

  • 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

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗