As a Research Scientist, you’ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Responsibilities
Lead research in foundation models for remote sensing, including hypothesis generation, experimentation, and roadmap development.
Collaborate with internal and external teams to integrate geospatial efforts and optimize model usage.
Mentor team members and publish research findings to share knowledge and generate impact.
Drive research growth by staying abreast of trends, reviewing academic papers, and contributing to the research community.
Identify and address technology gaps, develop research strategies, and implement solutions with defined timelines and resources.
Responsibilities
Lead research in foundation models for remote sensing, including hypothesis generation, experimentation, and roadmap development.
Collaborate with internal and external teams to integrate geospatial efforts and optimize model usage.
Mentor team members and publish research findings to share knowledge and generate impact.
Drive research growth by staying abreast of trends, reviewing academic papers, and contributing to the research community.
Identify and address technology gaps, develop research strategies, and implement solutions with defined timelines and resources.
Requirements:
PhD degree in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
PhD degree in Computer Science, a related field, or equivalent practical experience.
4 years of experience with research agendas across multiple teams or projects.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
2 years of experience in coding and leading multiple research efforts and influencing research direction.
Experience with Tensorflow/Jax/Flax libraries.
Experience with Computer Vision, using deep learning and modern architectures.
Experience building, tuning, evaluating, and using foundation models.
Experience with Remote Sensing data (e.g., multi-spectral, hyper-spectral, SAR) and Google Earth Engine.
Excellent software engineering skills using Python or C++.
This position is open to all candidates.
