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# Machine Learning Engineer, Agentic AI

- **Company:** Zillow Group
- **Location:** Los Angeles County, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $145,500.0 - $232,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Build Management, Information Technology, Machine Learning Operations, Virtual Agents
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/9b87aeeb-6330-48bb-b488-91aca51fe042

## About the Role

You are a hands-on builder who thrives at the intersection of AI innovation and engineering excellence. You?re skilled at transforming cutting-edge ideas into production systems that scale. We are looking for someone who has:

 * 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

## Description

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.

You Will Get To:

 * 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


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