AI and Visual Computing Scientist

Role overview Research and develop AI and visual computing methods that help automate building design and make 3D tools more useful to architects, engineers, and designers. The work spans foundational research, rapid prototyping, and exploration of 3D models and spatial data, with the aim of turning promising ideas into practical capabilities for the built environment.

Responsibilities - Explore research directions in AI and visual computing, including methods for working with 3D data. - Define research questions, design experiments, and analyze results critically. - Prototype candidate approaches and build minimal systems to test what is feasible. - Apply first-principles thinking to complex technical problems. - Collaborate with a multidisciplinary R&D team to advance spatial and functional intelligence.

Requirements - Experience in an R&D setting, in academia or industry. - Ability to prototype ideas quickly and evaluate them through careful analysis. - Comfort defining problems and designing experiments to test possible solutions. - Creative, first-principles approach to complex challenges.

Nice to have - Lead or co-lead publications at recognized visual computing or machine learning venues such as SIGGRAPH, CVPR, ICCV, ECCV, NeurIPS, ICLR, or 3DV. - Internship experience on relevant AI or visual computing projects at a technology company. - Experience building agentic workflows that work with 3D spatial data.

Benefits and work setup - Fully remote position.