The opportunity
The Human Flourishing team’s mission is to ensure AI systems understand and advance human flourishing. As AI becomes more capable and plays a larger role in people’s lives, we want its human benefits to grow with its capabilities.
What you'll do
Develop scalable training methods across the training stack that improve how: models understand people’s values, support their agency, and help them achieve long-term goals.
Lead high-leverage research from an open question to a shipped improvement:: choose a hard-to-define problem, iteratively define success, run experiments, and integrate into frontier models.
Build RL environments for difficult-to-verify outcomes, and study whether: beneficial behavior generalizes across settings.
Create evaluations grounded in human expertise and feedback that reveal: capability gaps, unintended incentives in RL, and failures that aggregate scores can miss.
Test whether measures of model behavior predict better learning, wellbeing,: and other long-term outcomes, and use those findings to guide training.
Build new 0→1 capabilities in human domains that may have an increasing: impact with upcoming increases in model intelligence and test-time compute.
What they're looking for
- Partner with product teams, engineers, partnerships teams, and domain experts: to deploy promising methods, measure their effects in real use, and turn what you learn into further improvements.
- Assess AI’s impacts on human flourishing at the scale of over a billion users.
- Care deeply about helping AI improve people’s lives, and feel this is a: responsibility that comes with increasingly capable models.
- Have an unusually strong research record in pretraining or RL / post-training: research, especially in a hard-to-verify area; or combine strong LLM research skills with deep expertise in education, mental health, or a related field of human benefit.
