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.
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 |
|---|---|---|
| Applied Scientist, Forecasting Applied Scientist role focused on designing, evaluating, and deploying statistical, econometric, and machine learning methods for forecasting problems within Zillow. The role involves the end-to-end modeling lifecycle, from data engineering and feature creation to model deployment, monitoring, and explainability, with a strong emphasis on translating forecasts into actionable business insights and recommendations for senior leadership. Collaboration with cross-functional teams and improvement of shared forecasting tools and data pipelines are also key responsibilities. | Ship | 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 |
| 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 Machine Learning Engineer, Shopping AI Senior Machine Learning Engineer focused on building and shipping production ML models for Zillow's core user experience, including ranking, recommendations, search, and autocomplete. The role involves owning the full model lifecycle, from experimentation to deployment and monitoring, and pioneering the application of deep learning and LLMs to enhance the home shopping experience. Collaboration with cross-functional teams and contribution to ML infrastructure are key aspects. | ShipAgent | 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 |