Researcher, Training

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

Researcher focused on developing and scaling new LLM architectures to improve intelligence and efficiency, with contributions to training and inference infrastructure. Requires deep understanding of LLM architectures and an empirical approach.

What you'd actually do

  1. Design, prototype and scale up new architectures to improve model intelligence
  2. Execute and analyze experiments autonomously and collaboratively
  3. Study, debug, and optimize both model performance and computational performance
  4. Contribute to training and inference infrastructure

Skills

Required

  • LLM architectures
  • model inference
  • empirical approach
  • deep learning architectures
  • transformer modifications

Nice to have

  • training infrastructure
  • computational performance optimization
  • safely deploying LLMs

What the JD emphasized

  • push the frontier of architecture development
  • deep understanding of LLM architectures
  • sophisticated understanding of model inference
  • hands-on empirical approach
  • designing an eval
  • tracking down a bottleneck
  • landing contributions to major LLM training runs
  • evaluate and improve deep learning architectures
  • safely deploying LLMs in the real world
  • state of the art transformer modifications for efficiency

Other signals

  • push the frontier of architecture development
  • deep understanding of LLM architectures
  • hands-on empirical approach
  • designing an eval
  • tracking down a bottleneck
  • contribute to training and inference infrastructure
  • landing contributions to major LLM training runs
  • evaluate and improve deep learning architectures
  • state of the art transformer modifications for efficiency