Research Scientist, Photorealistic, Large-Scale Scene Representations

vor 4 Wochen

Zürich, Zürich, Schweiz Facebook Vollzeit
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, Photorealistic, Large-Scale Scene Representations (PhD) Responsibilities:

  • Participating in cutting edge research in neural 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:

  • Currently has, or is in the process of obtaining, a PhD and/or postdoctoral assignment in the field of computer vision, computer graphics, machine learning or a related field
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Experience with neural rendering, novel view synthesis, 3D reconstruction, computer graphics. Interpersonal experience: cross-group and cross-culture collaboration
  • 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)
  • 3+ years experience designing and developing computer vision or machine learning algorithms in C++
  • 3+ years of 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)

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