Research Scientist, 3D Generative AI and Neural Representations

ppMinimum qualifications: /pulliPhD degree in Computer Science, a related field, or equivalent practical experience. /liliExperience in computer vision and machine learning related to 3D computer vision. /liliOne or more scientific publication submission(s) for conferences, journals, or public repositories. /li /ulpPreferred qualifications: /pulli2 years of experience in coding. /lili1 year of experience owning and initiating research agendas. /liliExperience in 3D reconstruction. /liliExperience with generative AI models. /liliKnowledge of coding with Python. /li /ulpAbout the job /ppAs 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. /ppAs 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. /ppGoogle 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. /ppOur 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. /ppResponsibilities /pulliAuthor research papers to share and generate impact of research results across the team and in the research community. /liliDevelop innovative computer vision and machine learning technology for applications in the field of augmented reality and beyond. /liliLead productionization of innovative computer vision and machine learning technology in the area of 3D Generative AI and 3D neural representations, including development and optimization of the machine learning model, integration in a mobile framework, hillclimb, and evaluation. /liliEstablish and maintain relationships with main stakeholders and keep recurring updates on the advancements of the project, making sure that their expectations are aligned to the research and engineering work. /li /ul /p #J-18808-Ljbffr