ML Engineer - Remote

About The Company

Zillow is a leading real estate technology company dedicated to transforming the way people buy, sell, finance, and rent homes. As the most-visited real estate platform in the United States, Zillow provides innovative tools and resources that empower consumers and professionals alike to make informed decisions in the real estate market. The company fosters a dynamic and inclusive culture committed to innovation, growth, and delivering exceptional customer experiences. Recognized among the best workplaces in the U.S., Zillow emphasizes a flexible work environment supported by its Cloud HQ strategy, enabling employees to work remotely from locations of their choice while maintaining high productivity and collaboration. With a focus on cutting-edge technology and industry leadership, Zillow continually invests in its people and technology to stay at the forefront of the real estate industry.

About The Role

We are seeking a highly skilled Principal Machine Learning Engineer to join our Agentic Artificial Intelligence team at Zillow. In this pivotal role, you will lead the development of large-scale, fault-tolerant multimodal AI experiences designed to reach millions of users. Your expertise will drive the creation of innovative agentic interaction modes, including Voice AI and Deep Research, to enhance the home shopping and transaction journey. You will pioneer the development of evaluation frameworks, tracing systems, and safety guardrails to ensure our AI agents remain trustworthy, responsible, and aligned with user needs. As a technical leader, you will bridge the gap between applied research and scalable engineering, leading complex cross-functional initiatives and translating cutting-edge research into tangible product features. Your insights will influence product strategy and help shape the future of AI-driven real estate experiences. This role offers the flexibility of remote work, allowing you to operate from a location of your choice within the United States, provided you meet the company's operational requirements.

Qualifications

• A master's degree or higher in Computer Science, Electrical Engineering, or a related field, with emphasis on multimodal large language models (LLMs) and AI product development.
• At least 5+ years of experience deploying large-scale machine learning models, with the most recent 2-3 years focused on building agent-based systems, multi-agent collaboration, or similar paradigms.
• Proven experience developing engaging dialogue systems capable of sustaining long conversations, context-aware tool selection, and compliant response generation.
• Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and fault tolerance.
• Familiarity with agentic AI frameworks such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure.
• Strong publication record, including articles, patents, or high-impact research contributions, is a plus.
• Excellent communication skills with the ability to influence technical direction across teams and present complex ideas to executive leadership.

Responsibilities

• Develop and deploy large-scale, fault-tolerant multimodal AI experiences that serve millions of users effectively and reliably.
• Design and implement multiple agent interaction modalities, including Voice AI and Deep Research, to enhance user engagement and experience.
• Pioneer the creation of evaluation frameworks, tracing systems, and safety guardrails to ensure AI agents are trustworthy, responsible, and aligned with ethical standards.
• Stay abreast of emerging agentic AI paradigms and convert innovative research into scalable, real-world product features.
• Lead and coordinate complex, multi-team projects, ensuring seamless integration of research insights into scalable engineering solutions.
• Translate complex research findings and AI system architectures into clear, actionable insights for diverse audiences, including executives and cross-functional teams.
• Collaborate with product managers, engineers, and stakeholders to define project scope, timelines, and deliverables.
• Mentor junior engineers and promote best practices in AI development, safety, and scalability.

Benefits

• Competitive salary aligned with experience and location, with additional eligibility for equity awards.
• Comprehensive health, dental, and vision insurance plans.
• Flexible remote work arrangements supported by Cloud HQ infrastructure.
• Generous paid time off and holiday leave policies.
• Professional development opportunities including training, conferences, and research support.
• Inclusive and collaborative work environment that encourages innovation and growth.
• Access to cutting-edge AI tools and resources to foster creativity and technical excellence.