Machine Learning Engineer, Agentic AI
Zillow
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About the role
Role overview
Zillow is hiring a Machine Learning Engineer to join the Agentic AI → Applied Reasoning team. You will design, build, and productionize domain-specialized AI capabilities that power Zillow’s next-generation real estate experiences, focusing on reliable multi-step reasoning and tool-grounded intelligence at scale.
Responsibilities
- Design and build scalable AI infrastructure and services for agentic AI applications
- Develop advanced reasoning and agentic capabilities for autonomous, adaptive agent behavior in dynamic environments
- Implement monitoring, evaluation, and optimization to ensure production reliability and responsiveness
- Bring emerging agentic AI techniques into practical, production-ready implementations
- Collaborate with applied scientists, engineers, and product teams to move from prototypes to robust systems
- Contribute to best practices in distributed ML systems, scalable architecture, and responsible AI deployment
Requirements
- BS or MS in Computer Science (or related field)
- 2+ years of experience building production ML systems and services
- Experience with AI agent frameworks, orchestration, or multi-step reasoning applications
- Strong programming skills in Python and experience with ML/AI frameworks
Nice to have
- Experience spanning distributed ML systems, scalable architectures, and responsible AI deployment (implied by responsibilities)
About Zillow
Zillow is a real estate and home shopping technology company that helps people navigate buying, selling, and renting decisions. Its Agentic AI organization builds AI experiences intended to provide always-on guidance by combining real estate expertise, grounded data access, and advanced reasoning.
Scraped 8/6/2026