Computer Vision - Intern
Are you passionate about building new, immersive experiences to change how people shop for homes and rentals? Every month 180 million users turn to Zillow for help. The Zillow Rich Media Experience (RMX) Team is re-imagining the home tour experience, giving people the feeling of being there from the convenience of their phones or PCs. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to walk through a home. We believe this will become the future of home shopping!
About the role
Our team is hiring interns (remote positions) for summer 2023! The RMX team focuses on building the next generation scalable home visualization and drives the Zillow 3D Home experience. Learn more about our work at https://www.zillow.com/marketing/3d-home/.
As an intern, you will have the opportunity to make an impact on the entire pipeline- from content capture and creation, back-end processing, to front-end display and interaction. We are eager to partner with hardworking students interested in pushing the state-of-the-art in the complicated high-impact research area of extracting image and text-based insights from real estate data.
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.
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. Employees may live in any of the 50 US States, with limited exceptions.
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. Employees may live in any of the 50 US States, with limited exceptions. 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.
In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.
Who you are
The ideal computer vision intern:
Is a PhD graduate student working towards a degree in computer science, computer vision, robotics, or other applicable field exploring computer vision and machine learning research
Has experience working in at least one of these areas:
Deep learning applied to scene understanding
Representation learning with no/limited labeled data: self/semi/weakly-supervised learning
Multi-modal learning, especially using images and text
Knowledge and vision-enhanced natural language generation
Text-to-image generation
Has 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 it easier to unlock lifes next chapter.
Apply Now
About the role
Our team is hiring interns (remote positions) for summer 2023! The RMX team focuses on building the next generation scalable home visualization and drives the Zillow 3D Home experience. Learn more about our work at https://www.zillow.com/marketing/3d-home/.
As an intern, you will have the opportunity to make an impact on the entire pipeline- from content capture and creation, back-end processing, to front-end display and interaction. We are eager to partner with hardworking students interested in pushing the state-of-the-art in the complicated high-impact research area of extracting image and text-based insights from real estate data.
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.
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. Employees may live in any of the 50 US States, with limited exceptions.
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. Employees may live in any of the 50 US States, with limited exceptions. 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.
In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.
Who you are
The ideal computer vision intern:
Is a PhD graduate student working towards a degree in computer science, computer vision, robotics, or other applicable field exploring computer vision and machine learning research
Has experience working in at least one of these areas:
Deep learning applied to scene understanding
Representation learning with no/limited labeled data: self/semi/weakly-supervised learning
Multi-modal learning, especially using images and text
Knowledge and vision-enhanced natural language generation
Text-to-image generation
Has 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 it easier to unlock lifes next chapter.
Apply Now