Research Scientist, Digital Humans
Google Switzerland GmbH
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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.
In this role, you will serve a wide range of Google devices/products which are deeply engaged with academia and
product. You will work on capturing, animating, generating, and rendering humans as well as simulating their
interactions with each other and the environment. You will focus on developing next generation technologies to
facilitate realistic data generation, including accurate reconstruction and tracking, physically based animation and
simulation, data-driven generative modeling, differential and neural image synthesis.
Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s
information and make it universally accessible and useful. Our team exists to help discover and create new ways to
advance our core products through exploration and the application of new technologies. We work to build new solutions
that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new
Google products and capabilities that deliver significant impact over longer timeframes.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience in Coding with Python, JavaScript, R, Java, or C++.
Preferred qualifications:
- PhD in Computer Vision, Computer Graphics or Machine Learning related disciplines.
- Publication track record in conferences such as CVPR, SIGGRAPH, NeurIPS, ECCV, ICCV, ICML, etc.
- Experience in C++ or Python programming languages.
- Conduct cutting edge research and publish at venues to advance the state-of-the-art in visual data generation, such
as generative modeling, neural representations, neural image synthesis, as well as domain adaptation and data
augmentation.
- Develop next generation technologies to capture, model, animate, simulate, and synthesize data with a focus on
digital humans.
- Collaborate cross-functionally with other researchers, engineers, and technical artists, as well as product teams.
- Advise and guide junior researchers and PhD students.
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.
In this role, you will serve a wide range of Google devices/products which are deeply engaged with academia and
product. You will work on capturing, animating, generating, and rendering humans as well as simulating their
interactions with each other and the environment. You will focus on developing next generation technologies to
facilitate realistic data generation, including accurate reconstruction and tracking, physically based animation and
simulation, data-driven generative modeling, differential and neural image synthesis.
Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s
information and make it universally accessible and useful. Our team exists to help discover and create new ways to
advance our core products through exploration and the application of new technologies. We work to build new solutions
that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new
Google products and capabilities that deliver significant impact over longer timeframes.
Minimum qualifications:
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience in Coding with Python, JavaScript, R, Java, or C++.
Preferred qualifications:
- PhD in Computer Vision, Computer Graphics or Machine Learning related disciplines.
- Publication track record in conferences such as CVPR, SIGGRAPH, NeurIPS, ECCV, ICCV, ICML, etc.
- Experience in C++ or Python programming languages.
- Conduct cutting edge research and publish at venues to advance the state-of-the-art in visual data generation, such
as generative modeling, neural representations, neural image synthesis, as well as domain adaptation and data
augmentation.
- Develop next generation technologies to capture, model, animate, simulate, and synthesize data with a focus on
digital humans.
- Collaborate cross-functionally with other researchers, engineers, and technical artists, as well as product teams.
- Advise and guide junior researchers and PhD students.