CareerPlan

Research Engineer / Research Scientist, Human Flourishing

San FranciscoFull-time2026-10-28 → 2026-11-10

Core

Develop scalable training methods and RL environments to improve how AI models understand human values, support agency, and achieve long-term goals across domains like education and mental health.

Role type

Senior hands-on research scientist (RL/Pretraining)

Builds

Frontier models and training infrastructure for human flourishing

Domain

AI safety, Reinforcement Learning, Human Flourishing, Education, Mental Health

Deliverable

production ML models

Required skills

Reinforcement Learning, Pretraining, LLM research, Experiment design, Data analysis, Python, Research direction, Domain expertise (Education/Mental Health)

Preferred skills

Experience with hard-to-verify outcomes, 0-1 capability building, Multidisciplinary collaboration

Technologies

RL environments, Training stack, LLMs, Python

Responsibilities

Develop scalable training methods to improve model understanding of human values; Lead research from open questions to shipped improvements; Build RL environments for difficult-to-verify outcomes; Create evaluations grounded in human expertise; Test measures of model behavior against long-term outcomes; Partner with product and domain experts to deploy methods; Assess AI impacts at scale.