Founding Member of Technical Staff, Research

Global

What you’ll do

  • use the latest methods from machine learning, statistics and the behavioural sciences to build, evaluate and improve simulations of people and markets
  • build self-improving autoresearch agents that work as autonomous social science researchers
  • fine-tune models, and design the RL environments, datasets and evals that train and test them

You might be a good fit if you have

  • an advanced degree in computer science, mathematics, physics or a related discipline
  • a track record of exceptional research
  • strong quantitative skills, with experience building evals or running experiments
  • strong programming and system design skills

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