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 |
|---|---|---|
| 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 |
| AI Applied Scientist - PhD Intern, Foundational AQ & EQ PhD intern role focused on foundational research in agentic AI systems, involving fine-tuning and reinforcement learning of LLMs for Zillow's domain, with the goal of shipping improved agentic AI workflows to power the Zillow Copilot experience. |
| AgentPost-train |
| 9 |
| AI Applied Scientist - PhD Intern, Foundational IQ PhD Research Intern role focused on training and adapting large models for Zillow's domain, including multimodal understanding, user modeling, and agentic workflows. The role involves research, prototyping, evaluation (offline and online), and collaboration with product and engineering teams, with opportunities for publication. | AgentPost-train | 9 |
| AI Applied Scientist - PhD Intern, Next-Gen Agentic and Multi-Modal Home Exploration Experience This role focuses on developing next-generation AI agents for a real estate exploration experience. The agents will be capable of reasoning, planning, and collaborating, utilizing large foundation models, conversational AI, LLMs, and multi-modal inference. Key research areas include personalized home exploration, conversational optimization with context management, and multi-modal collaboration systems integrating 3D computer vision and LLMs. | Agent | 9 |
| AI Applied Scientist - PhD Intern, Evaluation Systems and Metrics Zillow is seeking a remote PhD intern to develop cutting-edge evaluation methodologies for AI systems, focusing on creating robust, scalable metrics and frameworks for generative models across multiple modalities. The role involves research into novel metrics, self-improving assessment systems, privacy-preserving evaluation, and ethical fair housing evaluation for agentic systems. | Eval Gate | 8 |