Job Information
Meta Research Scientist, Photorealistic, Large-Scale Scene Representations in Zurich, Switzerland
Summary:
Our Maps Research team explores, develops, and delivers novel and cutting-edge technologies for 3D semantic map making from large-scale and heterogeneous image data sources, serving as the foundation for future AR/VR products. Our team is addressing a variety of technical challenges in the areas of (neural) 3D modeling, dynamic and semantic scene understanding, object recognition, and related domains. We're looking for candidates who share a passion for exploring and solving complex, challenging problems at the intersection of CV/CG/ML and photorealistic 3D scene reconstruction.We are looking for an exceptional researcher with a proven track record in using machine learning for solving computer vision and graphics problems (e.g., neural rendering, radiance field reconstruction, novel view synthesis, generative models for images and videos, ML-based scene generation) as well as an outstanding software engineer who can prototype invented algorithms.
Required Skills:
Research Scientist, Photorealistic, Large-Scale Scene Representations Responsibilities:
Leading and participating in cutting edge research for ML-based 3D modeling and rendering, computer vision, and graphics
Developing efficient deep neural network models for 3D content generation and tracking
Contributing research that can be applied to Meta VR/AR product development
Minimum Qualifications:
Minimum Qualifications:
Industry research / postdoctoral experience after completing PhD in the field of computer vision, computer graphics, machine learning or a related field
Experience with neural rendering, novel view synthesis, 3D reconstruction, computer graphics.
Interpersonal experience: cross-group and cross-culture collaboration
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
Preferred Qualifications:
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., SIGGRAPH, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML) or journals (e.g., PAMI, IJCV, JMLR, ToG)
Experience designing and developing computer vision, computer graphics, or machine learning algorithms in C++
Experience with prototyping algorithms in Python
Experience with neural rendering approaches such as NeRF, Gaussian Splatting, Image-based 3D Reconstruction and Relocalisation
Experience in 3D computer vision, graphics, and deep learning models for this domain
Demonstrated software engineer experience via previous internships, work experiences, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Industry: Internet