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Research Scientist, Digital Humans

Research Scientist, Digital Humans

Research Scientist, Digital Humans

Research Scientist, Digital Humans

SIGMA7 GmbH

Internet, IT

Zürich

  • Art der Anstellung: Vollzeit
  • Vor Ort

Research Scientist, Digital Humans

Über diesen Job

Job-Inhalt

The application window will be open until at least 03rd April 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

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.

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.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Unternehmens-Details

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SIGMA7 GmbH

Internet, IT

Bern, Schweiz

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