AI Applied Scientist - PhD Intern, Valuation & Market Dynamics (VMD)

AI Applied Scientist - PhD Intern, Valuation & Market Dynamics (VMD)

About the team

Are you passionate about building new data products and experiences to change how people shop for homes and rentals? Every month over 180 million users turn to Zillow for help. The Zillow AI Team is re-imagining the home shopping experience, supporting people through the process of finding their home, understanding its value and ultimately making an offer or submitting an application. All from the convenience of their phones or PCs. Using groundbreaking technologies, our team works across data, product, design, research, engineering, and business to enable people to find their home, tour it, finance it, and connect with the right people to help them achieve their dreams. We believe this is the future of home shopping!

About the role

Our team is hiring interns (remote positions) for Summer 2025!

As an intern, you will have the opportunity to innovate for our customers and our business. Your groundbreaking work will help us evolve and test our key data products and home valuation models, including the Zestimate, Rent Zestimate, Zillow Home Value Index (ZHVI) and many more models that provide critical market information and interactive tooling at both the aggregate and home-specific levels. We are eager to partner with hardworking students interested in pushing the state-of-the-art in the high-impact research areas of Deep Learning, Geospatial Data Application, Causal Modeling, Model Explainability, Responsible/Ethical AI, Real Estate Economics and Fair Housing Alignment. 

Our team has an open attitude towards research, and we encourage publications and continuing collaborations. Many of our past interns have submissions and publications at top ML and other domain-specific conferences as a product of intern research and team collaboration. Please see https://github.com/zillow/as-research for more details.

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, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $104,000.00 - $166,000.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.

Who you are

●       Is a currently enrolled PhD graduate student working towards a degree in computer science, machine learning, economics, statistics or another applicable field.

●       Has experience working in one or more of these areas:

○       Machine learning applied to tabular data, ideally in an economic context

○       Deep Learning models

○       Multimodal ML models

○       Analyzing quasi- or natural experiments and/or causal modeling

○       Geospatial data application to machine learning problems

○       Model explainability and/or ethical & responsible AI

○       Python & large datasets

○       Applying Computer Vision techniques to classification tasks

●       Has good publication record or is highly motivated towards publishing at top-tier scientific journals and/or conferences within the Computer Sciences, Economics, Statistics and Real Estate domains. 

         

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.

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