Research Scientist Intern, Neural 3D Modeling (PhD)

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/ML and 3D map making.We are looking for an exceptional PhD student with a proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., neural rendering, view synthesis), as well as an outstanding software engineer who can prototype invented algorithms.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Neural 3D Modeling (PhD) Responsibilities:

• Actively driving and participating in cutting edge research for neural 3D modeling
• Developing efficient neural network models for photorealistic, dynamic 3D scenes
• Contributing research that can be applied to Meta VR/AR product development
• Together with our team, working towards a top-tier, scientific publication

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD in the field of computer vision, computer graphics, machine learning, or a related field
• Hands-on knowledge with Neural 3D representations (Neural radiance fields, implicit, explicit & hybrid representations, SDFs, 3D Gaussian Splats) for object-, room-, or city-block sized scenes, neural rendering, etc.
• 2+ years experience with PyTorch and Python
• Experience with neural rendering, novel view synthesis, and 3D reconstruction
• Interpersonal and communication skills, cross-group and cross-culture collaboration
• High levels of creativity and quick problem solving capabilities
• 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 with 3D representations (NeRFs, 3D Gaussian Splatting), generative models (e.g. diffusion models, GANs), and inverse rendering techniques
• 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)

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.