Research Scientist, Machine Learning

ppMinimum qualifications: /pulliPhD degree in Computer Science, a related field, or equivalent practical experience. /liliExperience in computer vision, machine learning, and deep learning. /liliExperience with graphics and imaging research. /liliExperience coding in C++ or Python. /liliOne or more scientific publication submission(s) for conferences, journals, or public repositories. /li /ulpPreferred qualifications: /pulliExperience owning and initiating research agendas. /liliExperience in digital humans or related topics. /liliExperience in computer vision and machine learning algorithms. /liliExperience in coding. /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 /pulliHelp in growing research business across teams by sharing research trends and best practices within the community. /liliDevelop next generation algorithms for Augmented Reality (AR)/Virtual Reality (VR) perception. /liliDevelop next generation technologies to capture, model, animate, simulate, and synthesize digital humans. /liliCollaborate cross-functionally with other engineers, researchers, and technical artists, and product teams. /liliDesign, implement, evaluate, and maintain next generation technologies for AR/VR. /li /ul /p #J-18808-Ljbffr