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AI Applied Scientist in 3D Computer Vision Intern

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Zillow

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Munich
  • Quick Apply
    5d left

AI generated summary

  • You must be a current PhD student in Computer Vision with expertise in indoor scenes, proficiency in PyTorch, experience with large datasets, and a strong publication motivation.
  • You will research indoor scene understanding, 3D reconstruction, and generative AI, collaborate on projects, leverage large datasets, and aim for publications at top conferences.

Requirements

  • 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)

Responsibilities

  • 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.
  • 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 include Indoor scene understanding and generation, Sparse-view 3D reconstruction, Layout generation.

FAQs

What is the duration of the internship?

The internship is a 12-week paid position during Summer 2025.

Where is the internship based?

The internship is based in Munich, Germany, with flexible work arrangements available (remote, hybrid, or in-person).

Will I receive supervision during my internship?

Yes, you will have direct supervision from experienced Applied Scientists who have publications in top-tier conferences.

What type of projects will I be working on?

You will be working on research projects at the intersection of indoor scene understanding, 3D reconstruction, and generative AI.

Are there opportunities for publication during the internship?

Yes, the team encourages publications and collaborations, and many past interns have successfully submitted work to top conferences.

What are the qualifications required for the internship?

You must be a current PhD student in Computer Vision, preferably focusing on indoor scenes, with a strong research background and proficiency in programming frameworks like PyTorch.

Will I have access to specific resources during the internship?

Yes, you will have access to Zillow's unique large-scale indoor datasets and compute resources to support your research projects.

How does the team support collaboration and research engagement?

The team engages through biweekly Applied Science Guild meetings, weekly demo sessions, computer vision reading groups, and research presentations.

Does Zillow have a commitment to diversity and inclusion?

Yes, Zillow is committed to fostering an inclusive and innovative environment and encourages equal employment opportunity.

Is there a focus on any specific research areas for the internship?

Yes, key research focus areas include indoor scene understanding and generation, sparse-view 3D reconstruction, and layout generation.

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Zillow

Reimagining real estate to make it easier than ever to move from one home to the next.

Real Estate
Industry
5001-10,000
Employees
2006
Founded Year

Mission & Purpose

Zillow is an online real estate marketplace that provides users with tools to buy, sell, rent, and finance homes. It offers detailed property listings, home value estimates, and connects users with real estate professionals. Zillow’s ultimate mission is to empower consumers with the information and resources they need to make smarter real estate decisions. Its purpose is to simplify the real estate process by making data more accessible, fostering transparency, and helping people navigate the complexities of property transactions with ease.