Zillow
Consumer · Real estate marketplace
Zillow has 38 active AI-related job listings. The majority of these roles, 66%, are focused on agents. Engineering is the dominant function, with 26 roles. Frequent tech tags include agent_orchestration, evals, and model_serving, suggesting a focus on deploying and managing AI agents. In the last 30 days, Zillow posted 16 new AI roles, representing a 220% increase compared to the previous 30-day period.
Consumer · Real estate marketplace
Currently tracking 28 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $104k–$432k (avg $205k).
Zillow currently has 34 active AI-related roles in our index. The most common open titles are: Principal Machine Learning Engineer, Agentic AI (2), Senior Data Scientist (2), Senior Machine Learning Engineer (2), Applied Scientist, Forecasting, Applied Scientist, New Construction. Most positions are in Engineering and Product.
Zillow's active AI hiring is concentrated in: agents (65%), application (24%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Zillow is hiring AI talent in: United States (26 roles), Mexico (6 roles), India (1 role), Germany (1 role).
Job postings at Zillow most frequently reference: agent orchestration, model serving, llm observability, evals, tool use.
In the past 30 days, Zillow has posted 6 new AI-related roles. That is a -65% change versus the prior 30 days (17 → 6).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer 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. | Agent | 9 |
| Principal Machine Learning Engineer, Agentic AI 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. | Agent |
| Principal Applied Scientist, Agentic AI Principal Applied Scientist role focused on RL post-training for production models. Leads design and deployment of learning systems to shape model behavior, aligning with user value, safety, and business objectives. Involves supervised fine-tuning, preference modeling, RL-based alignment (RLHF, RLAIF, DPO), reward model development, and translating data into training signals. Partners with model/platform teams on training/evaluation efficiency and mentors other scientists. | Post-trainAgent | 9 |
| Senior Applied Scientist, Agentic AI 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. | Agent | 9 |
| Principal Machine Learning Engineer, Agentic AI 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. | Agent | 9 |
| Distinguished Scientist Distinguished Scientist role focused on defining and driving the technical vision for long-horizon, supervised agentic systems at Zillow. This involves designing agent architectures, memory and supervision frameworks, and learning strategies, leveraging Zillow's real-estate datasets to train and adapt agents for high-quality recommendations. The role requires expertise in LLM post-training, evaluation methods, and architecting systems for persistent memory, tool use, and multi-agent collaboration in a complex, regulated domain. | AgentPost-train | 9 |
| Principal Product Technologist This role focuses on building and iterating on AI-powered tools and capabilities to improve Zillow's product development lifecycle. The technologist will design and develop systems that help product teams discover knowledge, run experiments, and make decisions faster, collaborating with data science and engineering teams to scale these capabilities. The role emphasizes influencing technical architecture and translating organizational challenges into scalable technical solutions, with a focus on agentic architectures and LLM orchestration. | Agent | 8 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer to set technical direction and architect/ship large-scale agentic data platform capabilities, including context engineering, agentic memory, and AI workflows. Role involves leading cross-organization execution, mentoring engineers, and ensuring production-grade defaults like observability and evaluation. | AgentServe | 8 |
| Applied Scientist, New Construction 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. | AgentServe | 8 |
| Machine Learning Engineer, Agentic AI 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. | Agent | 8 |
| Director, Product Management - Developer Experience Director of Product Management for Developer Experience, focusing on building foundational platforms and developer capabilities, including AI-assisted development tooling and agentic workflows. The role aims to make software development easier and faster by integrating AI as a core collaborator, enabling both engineers and non-engineers to accelerate the product lifecycle through guarded, agentic experiences. | AgentServe | 7 |
| Senior Technical Program Manager, Product Development Acceleration Lead and build AI-enabled tools that help teams learn faster and make better product decisions. Architect, build, and iterate AI-native tools using modern AI coding environments and agentic frameworks. Focus on responsible AI and data privacy. | Agent | 7 |
| Senior Machine Learning Engineer, Rich Media Experiences Senior Machine Learning Engineer to build and operate production-grade ML systems for rich media experiences, focusing on transforming sensor data into floor plans and 3D representations for customer-facing products. The role involves end-to-end ML lifecycle management, including data, training, evaluation, deployment, and observability, with a focus on computer vision and spatial signals. | ShipServe | 7 |
| Senior Product Manager, Search & Evaluate - StreetEasy Senior Product Manager to redefine the search, discovery, and evaluation landscape for StreetEasy's buying and renting marketplace. This role will modernize the core experience by integrating AI and deep personalization to create an exceptional end-to-end shopping journey, transforming behavioral signals into growth engines and precision agent matching. | ShipAgent | 7 |
| Senior Product Manager, AI Platform & Ecosystem Senior Product Manager to lead AI platform and ecosystem capabilities for Follow Up Boss (Zillow Group), focusing on integrating AI into data, workflows, and integrations to create smarter, more personalized agent experiences. The role involves defining platform strategy, enabling AI assistants and workflows, shaping context and memory for AI, and partnering with engineering and AI/ML teams. | Agent | 7 |
| Senior Machine Learning Engineer 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. | AgentServe | 7 |
| Sr. Applied Scientist Senior Applied Scientist role focused on building and scaling ML-driven routing and allocation decision systems for Zillow's core marketplace. The role involves full lifecycle ownership of models, balancing customer experience with business value, and ensuring reliability, observability, and explainability in production systems. | Ship | 7 |
| Senior Applied Scientist, Rich Media Experiences Senior Applied Scientist role focused on developing and deploying machine learning and computer vision models for Zillow's rich media experiences, specifically for virtual home tours. The role involves framing and solving perception problems, building and iterating on models, developing evaluation pipelines, integrating models into production, and mentoring team members. Experience with real-world data, Python, deep learning frameworks, and shipping production ML systems is required. | ShipPost-train | 7 |
| Machine Learning Engineer, Zillow Shopping AI Machine Learning Engineer at Zillow Shopping AI to build and own production ML systems for core user experiences like ranking, recommendations, search, and autocomplete. The role involves designing, building, and shipping new ML models, re-architecting ranking systems, owning the full model lifecycle, and pioneering generative AI/LLM applications. Collaboration with cross-functional teams and contribution to ML infrastructure are also key. | Ship | 7 |