Machine Learning Engineer, Agentic AI – User Understanding

About the team

The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow’s competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.

About the role

Zillow is looking for a Machine Learning Engineer for the Agentic AI team to develop advanced agentic customer experiences. You will be hands-on in prototyping ideas, training large language models (LLMs), evaluating, and deploying them to Zillow’s highly scalable infrastructure platforms. You will develop models to gain deeper insights into user behavior and manage the decision-making processes of AI agents.

You Will Get To:

• Build and maintain data pipelines for LLM (Large Language Model) training and evaluation, curate user-understanding signals (such as intents, preferences, and behavioral features), and ensure data quality, privacy, and proper dataset management.

• Develop and manage labeling and feedback loops, including heuristics, annotation jobs, and prompt-based labeling, to create high-quality corpora, collaborating with Data Engineering and Applied Science partners to improve data coverage and reduce noise.

• Design, prototype, and ship to production agentic AI solutions, including multi-agent systems using frameworks like LangGraph, and implement context-aware features in partnership with senior engineers.

• Implement an evaluation framework to measure model quality on offline test sets (accuracy, bias, safety, user-intent coverage), and build dashboards to track improvements over time.

• Lead and contribute to experimentation by implementing metrics, A/B tests, and monitoring, helping to harden prototypes for reliable rollouts.

• Collaborate with senior engineers and cross-functional partners to select the right technologies, participate in code reviews, and share best practices (including mentoring interns or new hires as needed).

• Summarize research findings and model evaluations into clear write-ups and demos for the team and cross-functional stakeholders.

• Stay current on emerging agentic AI paradigms, implement paper-inspired proofs of concept, and contribute insights to the team roadmap.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Jersey, New York, Rhode Island, Vermont, Washington state, and Washington DC the standard base pay range for this role is $142,800.00 - $228,200.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Jersey, New York, Rhode Island, Vermont, Washington state, and Washington DC and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.

Who you are

You are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology with large-scale engineering. We are looking for someone who has:

• A master’s degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field, with an emphasis on building products using frontier multimodal LLMs (Large Language Models).

• Expertise in agentic AI, pretraining, fine-tuning, and reinforcement learning of large language models.

• 3+ years of hands-on experience building large-scale, high-impact solutions, ideally with recent experience in agent-based systems, multi-agent collaboration, or similar paradigms.

• Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance.

• A track record of writing articles and publishing high-impact research in top AI conferences is a big plus.

• Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

Zillow is reimagining real estate to make home a reality for more and more people.

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.