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Research Scientist, Photorealistic, Large-Scale Scene Representations (PhD)
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Zurich, Switzerland
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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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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