Research Scientist Intern, Generative AI & Computational Photography (PhD)

Meta; Redmond (WA); On-site; USD 30,000 - 50,000; Full time

Job summary

Meta Reality Labs is seeking a Research Scientist Intern to push the frontier of immersive visual computing. You will collaborate with researchers and engineers to create models, datasets, and evaluation methods, aiming for publishable results that influence future products across Meta’s AR/VR platforms.

Ideal candidates are pursuing a PhD with strong background in CV, graphics, image processing or computational photography and experience with PyTorch. On-site internship in Redmond, WA.

Qualifications

• Enrolled in a PhD program in computer science, electrical engineering, or related field.
• Experience in CS areas such as CV, graphics, image processing or computational photography.
• Proven track record with grants, fellowships, patents, or top-tier publications.

Responsibilities

• Research and prototype advanced 3D/4D reconstruction, diffusion, world models, or related tech.
• Develop and evaluate models; publish results where applicable.
• Analyze efficiency, accuracy and stability of deployed tech for impact opportunities.
• Collaborate from research to prototyping to deployment within Reality Labs.

Skills

C++

Python

Computer Vision

3D/4D reconstruction

Neural rendering

Diffusion models

Gaussian splatting

Education

PhD in CS/EE or related fields

Tools

PyTorch

Job description

Meta Reality Labs brings together researchers and engineers to invent the future of visual computing.

Our teams develop technologies that enable people to capture, create, understand, and interact with immersive visual experiences across Meta’s products and AR/VR platforms.

We work at the intersection of artificial intelligence, computer vision, computer graphics, and computational photography.

Our research spans generative image and video models, multimodal foundation models, neural rendering, novel-view synthesis, and learned 3D and 4D representations of people, objects, and environments.

As a Research Scientist Intern, you will help advance the state of the art through an ambitious research project.

You will collaborate with researchers and engineers to develop new models, representations, datasets, and evaluation methods— with opportunities to publish your work and influence future products used by people around the world.

Responsibilities

• Research, develop and prototype advanced technologies in the domain of 3D/4D reconstruction/rendering, image and video diffusion, and world models, Gaussian splatting, neural fields or diffusion transformers.
• Develop and prototype advanced technologies in 3D/4D reconstruction, image and video diffusion, and world models
• Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
• Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.

Minimum qualifications

• Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields
• Experience in one or more areas of Computer Science, such as Computer Vision, Computer Graphics, Image Processing, and Computational Photography, more specifically: 3D/4D reconstruction/rendering, image and video diffusion, and world models, Gaussian splatting, neural fields or diffusion transformers
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences
• Experience with modern C++ and/or Python
• Experience with deep learning frameworks such as PyTorch

Preferred qualifications

• Intent to return to their degree program after the completion of the internship Interpersonal experience: cross-group and cross-culture collaboration
• Strong communication skills and ability to convey research ideas to a broad audience
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
• Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry
• Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories