Principal Applied Scientist (User Modeling)

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Description

About the team The Agentic Foundations team is a focused group of 15–20 applied scientists within Zillow’s broader Agentic AI organization, building the foundational AI technologies that power the next generation of home shopping experiences. This Applied Scientist will focus on user modeling — building the user world models that help our agents understand where each shopper is in their journey, what they ultimately want, and how our actions change what happens next. The role will drive complex, ambiguous work end-to-end, partnering closely with product, engineering, science, platform, and data teams to translate the latest advances in sequence modeling, causal inference, and reinforcement learning into production impact. This is an exciting time to join as Zillow is building agentic skills across the full home-shopping journey — from search and personalized guidance to offer strategy and financing — at a scale of hundreds of millions of requests per day. About the role Own LLM post-training pipelines — SFT, DPO, and reinforcement fine-tuning (RFT/GRPO) — running training end-to-end on GPU infrastructure. Build and train fast, multi-category reward models (PRMs) that emit scalar signals from contrastive preference pairs. Design on-policy and online assessment: score live agent trajectories using LLM-as-a-Judge frameworks. Translate offline evaluation rubrics into generalizable reward functions that work on arbitrary production traces. Independently drive complex work end

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