About the job
Zillow is seeking a Machine Learning Engineer to join the Applied Reasoning team within the Agentic AI organization. In this role, you will design, build, and productionize domain-specialized AI capabilities that power Zillow’s next generation real estate experiences. You will focus on advancing multi-step reasoning, structured synthesis, and tool-grounded intelligence that operates reliably at scale in live customer environments.
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
Qualifications
Minimum
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
Preferred
No preferred qualifications listed.