Zillow

Senior Machine Learning Engineer on the Agentic AI team at Zillow, focused on developing large-scale, fault-tolerant multimodal agentic experiences for millions of customers. The role involves designing interaction modes (Voice AI, Deep Research), pioneering evaluation frameworks, tracing systems, and safety guardrails, and converting emerging agentic paradigms into product innovation. It requires leading complex initiatives, bridging research and engineering, and distilling complex findings for diverse audiences.

Principal Machine Learning Engineer on the Agentic AI team to develop large-scale, fault-tolerant multimodal agentic experiences, design agent interaction modes (Voice AI, Deep Research), pioneer evaluation frameworks, tracing systems, and safety guardrails, and lead multi-team initiatives bridging research and engineering.

Senior Applied Scientist on the Agentic AI team at Zillow, focusing on researching and developing advanced LLM-powered reasoning systems for real estate. The role involves prototyping, evaluating, and deploying agents capable of deep, multi-step reasoning, accurate tool use, and contextual decision-making, with a focus on improving reliability and quality through evaluation frameworks and post-training techniques.

The Principal Machine Learning Engineer on the Agentic AI team at Zillow will develop advanced multimodal foundational technologies, focusing on prototyping, evaluating, and deploying models into production. This role involves building multi-agent systems with deep reasoning, perception, and language understanding capabilities, leveraging frameworks like AgentSDK and LangChain/LangGraph. The engineer will also work with GenAI models, real-time voice APIs, and ensure high availability and low latency for AI services.

The Shopping AI team at Zillow is looking for an Applied Scientist to drive the next generation of ranking, recommendation, and generative AI systems for Zillow's home-shopping experience. This role involves researching, designing, and deploying innovative machine learning models, including LLM-based retrieval and RAG-style systems, to improve user discovery and interaction with homes. The scientist will lead the full model lifecycle from ideation to deployment and monitoring, collaborating with cross-functional teams and leveraging large-scale data systems.

Machine Learning Engineer on the Agentic AI team, focusing on designing, building, and productionizing domain-specialized AI capabilities for Zillow's real estate experiences. The role involves advancing multi-step reasoning, structured synthesis, and tool-grounded intelligence for AI agents operating in live customer environments.

The Connections AI team at Zillow is building intelligence and decisioning systems to help real estate agents and loan officers operate as a coordinated team. This role focuses on building foundational systems that convert behavioral, conversational, and operational signals into shared intelligence and actionable recommendations. The work involves real-time signal ingestion, data understanding, ranking, prediction, decisioning, and agentic execution, leveraging LLMs, agentic AI, and classical ML. The primary focus is on propensity, ranking, prediction, and decisioning systems, with selective use of Generative AI.

Senior Machine Learning Engineer to anchor the Agentic Data Foundations team, responsible for designing and building scalable, robust foundational infrastructure that empowers AI teams. The role involves architecting, deploying, and optimizing ML infrastructure, serving as a liaison between data platforms and applied AI teams, and mentoring engineers. Requires strong experience in ML fundamentals, agentic patterns, and large-scale data/ML infrastructure.