Description
As a Research Scientist focused on Learning & Cognitive Outcomes, you will help build the scientific and evaluation infrastructure needed to understand how AI systems affect learning, cognition, and capability development over time.
We are looking for someone who can design rigorous studies, develop scalable evaluation methods, and help answer a central question: do AI systems help people become more capable over time? This means going beyond engagement, satisfaction, or task completion to measure whether users develop better reasoning, stronger metacognition, greater autonomy, deeper understanding, improved transfer, and more durable skills.
This role sits at the intersection of learning science, cognitive science, experimental design, LLM evaluation, and applied product research. You will help develop cognitive outcome measures, design and manage RCTs and field studies, build classifiers and graders, guide external research partners, and translate findings into model and product improvements.
The initial focus of this work will include young users and education settings, while contributing to a broader research agenda on how AI affects cognition and capability development across populations. You should be comfortable working with schools, universities, education systems, research organizations, and other external partners, while also collaborating closely with internal product, research, engineering, data science, and policy teams.
This is an applied, empirical role. It is not a traditional academic research role optimized primarily for publication, nor is it a curriculum design or production engineering role. Success means building evidence systems that are scientifically credible, operationally useful, and influential in how models and products are developed.
A strong candidate will be able to move quickly in ambiguous environments, make pragmatic scientific tradeoffs, and maintain high standards while working with messy real-world data, external partners, and fast-moving AI systems.