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. 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. Zillow is reimagining real estate to make home a reality for more and more people.Īs 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. 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.Sufficient experience with Python and large datasets.Geospatial data application to machine learning problems.Forecasting and/or work with time-series data and problems.Machine learning applied to tabular data, ideally in an economic context.Has experience working in at least one of these areas:.Is a PhD graduate student working towards a degree in computer science, machine learning, economics, statistics or another applicable field.This base pay range is specific to California, Colorado, Connecticut, Nevada, New York and Washington and may not be applicable to other locations. ![]() In California, Colorado, Connecticut, Nevada, New York and Washington the standard base pay range for this role is $104,000.00 - $166,000.00 Annually. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role. Employees may live in any of the 50 US States, with limited exceptions. “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. This role has been categorized as a Remote position. 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. Our team has an open attitude towards research, and we encourage publications and continuing collaborations. 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, Anomaly Detection, Forecasting, Model Explainability, Real Estate Economics and Fair Housing Alignment. Your groundbreaking work will help us evolve 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. Our team is hiring interns (remote positions) for Summer 2024.Īs an intern, you will have the opportunity to innovate for our customers and our business. We believe this is the future of home shopping! 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. All from the convenience of their phones or PCs. ![]() ![]() 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. 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.
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