Google is seeking a Senior Research Scientist specializing in Computer Vision and Remote Sensing to join their research team. This role combines cutting-edge research in computer vision with practical applications in remote sensing imagery analysis. The position involves developing foundation models for satellite and aerial imagery, focusing on tasks such as land use/land cover segmentation, object detection, and change detection.
The ideal candidate will have a PhD in Computer Science or related field, with at least 2 years of experience leading research initiatives. The role requires expertise in building computer vision models using machine learning techniques, and experience with publication in scientific venues. Preferred candidates will have 10 years of computer vision research experience, including 3 years in leadership roles.
As part of Google Research, you'll work on projects that define tomorrow's technology, contributing to fundamental research while influencing product development. The team focuses on developing foundation models for remote sensing imagery and investigating natural language interfaces through vision-language models. You'll have the opportunity to work with researchers across Google, connecting multiple geospatial efforts and helping teams optimize their use of foundation models.
The position offers the chance to work with Google's vast resources and datasets, collaborate with leading researchers, and contribute to projects that impact billions of users. You'll be expected to share your findings with the wider research community through publications and open-source contributions. The role combines research leadership, hands-on technical work, and mentorship opportunities, making it ideal for someone passionate about advancing the field of computer vision and remote sensing while working on real-world applications.
Google provides an inclusive work environment and is committed to equal opportunity, offering comprehensive benefits and fostering a culture of belonging. The position is based in Tel Aviv, Israel, and requires English proficiency to facilitate global collaboration.