Job type: Temps plein, Temps de travail : 90-100%

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Job content

Minimum qualifications:

  • Master’s degree in computer science, a related discipline, or equivalent practical experience.
  • Experience in computer vision and machine learning around 3D computer vision and/or scene and object understanding.
  • Experience working in an industry or academic research lab with the research to product pipeline.


Preferred qualifications:

  • Experience in computer vision and machine learning technology for applications in the field of augmented reality.
  • Experience in productionization of computer vision and machine learning technology.

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.

The Augmented Reality Semantic Perception team develops novel core tech around computer vision and machine learning, in particular scene and object understanding, 3D computer vision, high-level text understanding, 3D reconstruction, object detection and tracking. The activity spans the whole range from research to product. The team serves multiple perception-related products at Google, with a particular focus on augmented reality products and applications.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user’s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people’s lives better through technology.

Responsibilities

  • Be an expert of certain aspects of productionization of computer vision and machine learning technology, such as optimization of the machine learning model, integration in a mobile framework, and increase the robustness of the model to the given use cases.
  • Establish and maintain relationships with stakeholders, keep recurring updates on the advancements of the project, and make sure that the expectations of the customers are aligned to the engineering work being done.
  • Work in a team composed of Research Scientists and Software Engineering experts in the field, and be part of a project focused on 3D scene and object understanding.
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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Deadline: 04-05-2024

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