kNcC8d8 w5QKTsds J2VrGMQN - Remote — United States

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 empowers millions of users by providing innovative tools and data-driven insights that simplify the home shopping and transaction experience. Our culture emphasizes innovation, inclusivity, and employee growth, as reflected in our recognition as one of FORTUNE’s 100 Best Companies to Work For® in 2026 and TIME's America's Best Companies 2026 list. Through our strategic Cloud HQ initiative, we support flexible, distributed work environments that enable employees to be productive from locations of their choice, fostering collaboration and agility across the organization.

About The Role

The Principal Machine Learning Engineer position on Zillow’s Agentic AI team offers a unique opportunity to lead the development of advanced AI assistants that redefine real estate experiences. This senior engineering role involves partnering with cross-functional leaders in Engineering, Science, Product, and Platform teams to architect and implement agent memory systems and context engineering solutions that enable personalized, efficient, and relevant AI interactions over extended home search journeys. You will be responsible for designing and deploying large-scale machine learning systems, orchestrating end-to-end agent workflows, and developing evaluation frameworks to continuously improve agentic capabilities. This remote role allows U.S.-based employees to work from any state, with specific salary ranges applicable in certain states. You will play a critical role in advancing emerging AI paradigms, guiding technical direction, and leading complex multi-team initiatives that drive product innovation and operational excellence.

Qualifications

• Master’s degree or higher in Computer Science, Electrical Engineering, or a related field, or equivalent experience

• 5+ years of experience deploying large-scale machine learning systems, including at least 1 year of building and shipping LLM-based agents in production

• Hands-on experience with agent orchestration, prompt engineering, context engineering, and optimization

• Proven ability to evaluate agentic systems and leverage insights to improve performance

• Demonstrated technical leadership with experience influencing technical direction and mentoring engineers

• Strong communication skills, including the ability to present complex technical concepts to senior leadership

• Proficiency in Python programming and familiarity with agentic AI frameworks such as LangGraph, Agents SDK, or AutoGen

• Preferred: Experience designing long-term or episodic memory systems for agents or users

• Preferred: Experience with dialogue systems supporting multi-session conversations

• Preferred: Experience personalizing AI assistants based on conversation history

• Preferred: Publications, patents, or open-source contributions related to memory, long-context models, or agents

Responsibilities

• Define and implement the architecture for agent memory, enabling the AI assistant to reason about, write, retrieve, update, and retire memories across user experiences

• Lead context engineering efforts to assemble, prioritize, and compress context from conversation history, user memory, tools, and skills to ensure relevant, fast, and cost-efficient responses

• Collaborate with federated teams to build and orchestrate AI agents end to end, from prompt and context design through deployment and production operations

• Design and develop offline and online evaluation frameworks to measure memory and context quality and use these insights to guide product and technical decisions

• Stay current with emerging agentic AI paradigms, including memory architectures, long-context techniques, and self-evolving agentic systems, translating advances into product innovation

• Lead complex, multi-team, cross-functional initiatives and align technical direction with peer leaders

• Communicate technical strategy clearly across Engineering teams, partner groups, and leadership

Benefits

• Competitive base salary with location-specific ranges

• Equity awards based on experience, performance, and location

• Remote work flexibility through Zillow’s Cloud HQ program

• Opportunities for professional growth and leadership development

• Inclusive and innovative company culture recognized nationally

• Comprehensive health and wellness benefits

• Supportive work environment with emphasis on collaboration and impact

Equal Opportunity

Zillow Group is an equal opportunity employer committed to fostering an inclusive and innovative environment. We provide equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We comply with all applicable laws regarding employment and accommodations. Qualified applicants with arrest or conviction records will be considered in accordance with applicable state and local laws. If you require accommodation during the application process, please contact your recruiter directly. We are dedicated to ensuring a fair and respectful hiring process for all candidates.