About the team

Are you passionate about pushing the boundaries of SOTA 3D computer vision and generative models? Zillow - the largest real estate platform in the US with over 220M monthly users - is revolutionizing how people experience unfurnished spaces through cutting-edge AI technology. Our team specializes in developing state-of-the-art generative AI and 3DCV pipelines for virtual staging, transforming empty rooms into beautifully furnished spaces that help millions of people envision their future homes.

As part of Zillow's broader AI organization of hundreds of researchers and engineers, our Munich-based team of 10 combines academic excellence with real-world impact. We have unique access to one of the world's largest collections of high-quality indoor real estate imagery, allowing us to tackle challenging computer vision problems at an unprecedented scale.

About the role

As a Computer Vision PhD Intern in the Virtual Staging AI team, you'll have the opportunity to work on a research project at the intersection of indoor scene understanding, 3D reconstruction, and generative AI. You'll collaborate with experienced Applied Scientists while having the flexibility to align the project with your research interests and contribute to your publication record in top-tier conferences.

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

Key Details

• 12-week paid internship during Summer 2025

• Based in Munich, Germany with flexible work arrangements (remote, hybrid, or in-person)

• Direct supervision from experienced Applied Scientists with publications in top-tier conferences (CVPR, ICCV, NeurIPS, 3DV etc.)

• Access to Zillow's unique large-scale indoor datasets and compute resources

• Opportunity to contribute to research projects that could lead to publications

• Integration into Zillow's vibrant research community through:

  • Biweekly Applied Science Guild meetings

  • Weekly demo sessions

  • Computer vision reading groups

  • Research presentations and collaborations

Research Focus Areas

• Indoor scene understanding and generation

• Sparse-view 3D reconstruction

• Layout generation

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.

Who you are

You're a current PhD student with a strong foundation in computer vision and a passion for pushing the boundaries of what's possible in indoor scene understanding and generation. You're excited about applying your research skills to real-world problems and advancing your academic publication record.

Required Qualifications

• Current PhD student in Computer Vision, preferably on topics related to indoor scenes
• Strong research background in computer vision, particularly in areas such as: Indoor scene representations, 3D reconstruction, Scene understanding or generation
• Programming proficiency in PyTorch or similar deep learning frameworks
• Experience with large datasets and data-driven deep-learning methods
• Good publication record or is highly motivated towards publishing at top-tier scientific conferences (such as CVPR, ECCV, ICCV, and SIGGRAPH)

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.