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Research Engineer / Research Scientist - Personal AGI, Personalization

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsite$380k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build general-purpose memory that makes ChatGPT more helpful over time.
  • Own a research agenda for memory use and personalization in frontier models.
  • Build robust evaluations to track modeling improvements for personalization.

What they offer

  • Equity
  • Relocation assistance

Ideal candidate

Product-driven researcher passionate about personalized assistants with frontier post-training experience. You iterate quickly, value research craftsmanship, and thrive in fast-paced, technically complex environments.

Requirements

  • Background in frontier model post-training
  • Experience working with user signals and human data to turn feedback into reliable signals for training and evaluation
  • Deep understanding of frontier model post-training and machine learning applications
  • Comfortable diving into a large ML codebase to debug
remote policy
Hybrid - 3 days in office per week

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 ↗