Distinguished Scientist
Core
Define and drive technical vision for long-horizon, supervised agentic systems in real estate shopping and financing, designing agent architectures and learning strategies for context-rich, trustworthy AI assistants.
Role type
Distinguished Scientist (Senior IC with option to lead a small pod)
Builds
Proactive, always-on AI assistants integrating deep user understanding and market intelligence for home-shopping and financing journeys
Domain
Real Estate / Agentic AI / Generative AI
Deliverable
production ML models
Required skills
Long-horizon agentic system design, LLM post-training (SFT, RLHF/RLAIF), multi-agent orchestration, persistent memory architectures, evaluation framework design, cross-functional technical leadership, research community engagement
Preferred skills
Experience in regulated/high-stakes domains (finance, healthcare), open-source contributions in LLMs
Technologies
Transformers, foundation models, reinforcement learning, natural language processing
Responsibilities
Own end-to-end research and technical strategy for agentic experiences, design LLM post-training methods, architect systems combining memory and tool use, translate heterogeneous data into agent-ready signals, define success metrics and evaluation plans, mentor principal-level talent, represent Zillow externally via publications and talks
Seniority
Distinguished, hands-on IC with strategic leadership