Google seeks a Research Scientist to advance 3D human body shape and animation, onsite in London. You’ll develop algorithms for 3D shape estimation, rigging and skinning, work with models for populations, and pioneer physics-based animation conditioned on data, collaborating with engineers to deliver models and pipelines. A PhD in CS or related field or equivalent practical experience is required, with publications in major AI conferences NeurIPS, CVPR, ICCV or ICLR. Preferred: PhD focusing on 3D geometry or ML, experience with JAX and Python/C++, mesh processing, skeletal pipelines, and strong math skills. Tips: tailor your CV to highlight concrete results, provide project links or demos, emphasize collaboration and production impact for AR/XR.
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.
Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to to power machine learning, build better products faster, and unlock next-generation user experiences. The impact we make can be seen in team's using our technologies and data to build exciting new features in the AR organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices.