Research Scientist - Generative 3D modeling / Radiance Field Representations

Full Time

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Zurich, Switzerland

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Meta

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.

Research Scientist - Generative 3D modeling / Radiance Field 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

  • 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

  • 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)

Apply Here!