Sr Applied Scientist, Core Shopping Data Science

A customer may encounter a recommendation that is irrelevant, two widgets offering similar products, and confusing labels. Customers notice all of it. The ranking systems that chose those impressions largely do not, because until recently there was no way to turn a judgment about how a page feels into a signal a model could learn from. LLMs changed that. We can now take an ambiguous statement about customer perception, make it a judgment that holds up consistently at scale, and validate it agai…