Research Engineer / Research Scientist -personal Agi, Proactivity

OpenAI OpenAI · AI Frontier · San Francisco, CA · Research

Research Engineer/Scientist focused on improving model proactivity and personalization for a collaborative assistant, involving RL, dataset creation, evaluations, and post-training methods, with a strong emphasis on product-driven research and collaboration with product teams.

What you'd actually do

  1. Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals.
  2. Build robust evaluations for tracking modeling improvements.
  3. Design, implement, test, and debug code across our research stack.
  4. Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product

Skills

Required

  • Machine learning
  • ML engineering
  • LLM post-training
  • LLM evaluation
  • Python
  • debugging large codebases

Nice to have

  • personalization
  • proactivity
  • agentic capabilities
  • reinforcement learning
  • dataset creation

What the JD emphasized

  • strong ML engineering skills
  • research experience
  • novel and highly capable models
  • product-driven research
  • deep understanding of machine learning
  • working knowledge of LLM post-training and evaluation approaches
  • diving into a large ML codebase to debug

Other signals

  • personalization
  • proactivity
  • agentic capabilities
  • reinforcement learning
  • dataset creation
  • evaluations
  • post-training methods
  • highly capable models