AI Applied Scientist - PhD Intern, Personalization

About the team

Are you passionate about building new, personalized 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 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 close on 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 our key systems, including content creation, home and user understanding, discovery, search, and valuation.

We are eager to partner with hardworking students interested in pushing the state-of-the-art in the high-impact research areas of Personalization, Reinforcement Learning, Graphical Models, Multimodal Image and Text, Multimodal Search, and Recommender systems, or Ranking.

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 conferences such as RecSys and KDD 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, 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, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.

Who you are

 The ideal AI intern:      

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

●       Has experience working in at least one of these areas:

○       Deep learning applied to scene understanding, user understanding, and conversation

○       Representation learning with no/limited labeled data: self/semi/weakly-supervised learning

○       Multi-modal learning, especially using images and text

○       Reinforcement learning

○       Graphical Models

●       Has good publication record or is highly motivated towards publishing at top-tier scientific conferences (such as CVPR, ECCV, ICCV, SIGGRAPH, ACL, NAACL, EMNLP, NeurIPS, ICML, KDD, ICASSP)

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