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 57% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $104k–$432k (avg $205k).
Zillow currently has 39 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), AI Applied Scientist - PhD Intern, 3D Computer Vision, AI Applied Scientist - PhD Intern, Evaluation Systems and Metrics. Most positions are in Engineering and Research.
Zillow's active AI hiring is concentrated in: agents (64%), application (21%), post-training (8%). 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 (30 roles), Mexico (5 roles), Germany (3 roles), India (1 role).
Job postings at Zillow most frequently reference: agent orchestration, evals, model serving, llm observability, multimodal.
In the past 30 days, Zillow has posted 11 new AI-related roles. That is a -21% change versus the prior 30 days (14 → 11).
| 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 |