Machine Learning Engineer, Agentic AI

Zillow is transforming the real estate industry through its Agentic AI team, which focuses on enhancing the home shopping experience using AI technology. The Machine Learning Engineer will design and build AI capabilities to improve reasoning and intelligence in Zillow's AI systems, ensuring they operate effectively in real-world scenarios.

Responsibilities:

• Design and build scalable AI infra and services to power agentic AI applications
• Develop advanced reasoning and agentic capabilities that enable AI agents to operate autonomously and adaptively in dynamic, real-world environments
• Implement monitoring, evaluation, and optimization processes to ensure reliability and responsiveness in production
• Stay at the forefront of agentic AI innovation, bringing emerging techniques into practical application to shape product direction
• Collaborate closely with applied scientists, engineers, and product teams to translate experimental prototypes into robust production systems
• Contribute to best practices in distributed ML systems, scalable architecture, and responsible AI deployment

Requirements:

• A Bachelor's or Master's in Computer Science or a 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 such as TensorFlow, PyTorch, LangChain, and LangGraph
• Experience designing and operating scalable, cloud-based ML infrastructure
• Ability to work in cross-functional teams to ship impactful AI-driven features