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Senior Research Scientist, Computer Vision/Remote Sensing

Senior Research Scientist, Computer Vision/Remote Sensing

3 Weeks ago • 2-13 Years • Research & Development

About the job

7 skills required for this role

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cpp

prototyping

computer-vision

object-detection

python

foundation

innovation

Job Description

Google is seeking a Senior Research Scientist in Computer Vision/Remote Sensing to contribute to the development of foundation models for remote sensing imagery. Responsibilities include exploring research directions, conducting rigorous experimentation, shaping the team's roadmap, prioritizing research directions, collaborating with other researchers, helping teams utilize foundation models, and mentoring team members. The ideal candidate will have a PhD in Computer Science or a related field, experience leading research agendas, and a strong publication record. Experience with remote sensing data and foundation models is preferred. The role involves developing and applying cutting-edge machine learning techniques to real-world problems in remote sensing, contributing to both internal Google projects and external collaborations.

Must have:

PhD in Computer Science or related field
2+ years leading research agendas
Experience building computer vision models
Scientific publications
Experience with Remote Sensing data

Good to have:

10+ years in computer vision research
3+ years in research leadership
Experience with foundation models
Google Earth Engine experience
Excellent Python/C++ skills

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Minimum qualifications:

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.

Preferred qualifications:

10 years of experience in computer vision research, with 3 years in research leadership roles.
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++.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

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.

Our team focuses on developing foundation models for remote sensing (i.e., satellite, aerial) imagery. We aim to simplify and enhance various remote sensing tasks including land use/land cover segmentation, object detection, and change detection for use by Google teams and external partners. We also investigate natural language interfaces for remote sensing imagery through vision-language models and tasks such as captioning and visual question answering.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

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.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.