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
Explore research directions, generate hypotheses and perform rigorous experimentation in several sub-domains (e.g., pre-training recipes, multi-modality, temporal sequences).
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:
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in building computer vision models using machine learning techniques.
Experience leading a research agenda.
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.
Experience in building computer vision models using machine learning techniques.
Experience leading a research agenda.
One or more scientific publication submission(s) for conferences, journals, or public repositories.
Preferred qualifications:
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.
