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

Meta; Sunnyvale (CA); On-site; USD 55,000 - 83,000; Full time

Job summary

Meta Reality Labs is seeking an Research Scientist Intern to advance state-of-the-art research in computer vision, graphics, and machine learning. You will work with researchers and engineers to develop new models, representations, datasets, and evaluation methods with opportunities to publish.

The internship offers collaboration across teams and potential to influence future products used by people worldwide, with exposure to cutting-edge AR/VR platforms and immersive experiences.

Qualifications

• PhD candidate in computer science, electrical engineering, or related field.
• Experience in computer vision, ML, computer graphics, image processing, or computational photography.
• Proven track record of grants, fellowships, patents, or co-authored publications at top-tier conferences.
• Experience with C++ and/or Python; PyTorch experience.

Responsibilities

• Research and prototype advanced technologies in the domain of computer vision, computer graphics, and machine learning.
• Deliver research results that are publishable and have impact on Reality Labs or Meta’s family of apps.
• Collaborate with team members throughout the project lifecycle, from research to prototyping to deploying products.

Skills

C++

Python

Communication

Cross-cultural collaboration

Publications

Education

PhD candidate in computer science or electrical engineering

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 Computer Vision, Computer Graphics, and Machine Learning.
• 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, Machine Learning, Computer Graphics, Image Processing, and Computational Photography
• 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