Senior Research Scientist, Computer Vision/Remote Sensing

Google is a global technology leader that develops innovative products and services used by billions of people.
Machine Learning
Staff Software Engineer
In-Person
["5,000+"] Employees
2+ years of experience
AI

Description For Senior Research Scientist, Computer Vision/Remote Sensing

Google Research is seeking a Senior Research Scientist specializing in Computer Vision and Remote Sensing to join their team. This role focuses on developing foundation models for remote sensing imagery, including satellite and aerial data. The position involves working on cutting-edge research in land use/land cover segmentation, object detection, and change detection, while also exploring natural language interfaces for remote sensing imagery through vision-language models. As part of Google Research, you'll have the opportunity to impact technology used by billions, publish in academic journals, and contribute to open-source projects. The role combines advanced computer vision research with practical applications in remote sensing, offering the chance to work with world-class researchers and influence product development at a global scale. The position requires leadership in research direction, collaboration across teams, and mentoring capabilities, making it ideal for someone passionate about advancing the field of computer vision and remote sensing.

Last updated 3 days ago

Responsibilities For Senior Research Scientist, Computer Vision/Remote Sensing

  • Explore research directions, generate hypotheses and perform rigorous experimentation in several sub-domains
  • Contribute to shaping the team's roadmap, help prioritize research directions, with focus on innovation and usability
  • Work with other researchers across Google to connect multiple geospatial efforts
  • Help teams use foundation models and optimize its use on their tasks
  • Advise and mentor team members

Requirements For Senior Research Scientist, Computer Vision/Remote Sensing

Python
  • PhD degree in Computer Science, a related field, or equivalent practical experience
  • 2 years of experience leading a research agenda
  • Experience in building computer vision models using machine learning techniques
  • One or more scientific publication submission(s) for conferences, journals, or public repositories

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