Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Research Scientist Intern, Generative AI (PhD) (multiple locations) role.
Rezi rewrites your resume against Meta's job description. Free.
Tailor your resume to this Research Scientist Intern, Generative AI (PhD) (multiple locations) role.
Rezi rewrites your resume against Meta's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Research Scientist Intern, Generative AI (PhD) (multiple locations) posting at Meta — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Research Scientist Intern, Generative AI (PhD) (multiple locations) posting at Meta — free, in seconds.
About the Role
The Reality AI Research team focuses on developing and implementing advanced technologies for 3D/4D scene reconstruction, understanding, and generation, which will form the basis for future AI products and wearables. We are seeking individuals passionate about solving complex challenges across the entire tech stack, from model architecture to large-scale training.
Responsibilities
- Actively drive and participate in cutting-edge research for 3D/4D scene reconstruction, understanding, and generation.
- Develop efficient deep neural network model architectures.
- Contribute research applicable to Meta wearables and AI development.
- Collaborate with the team to achieve top-tier scientific publications.
Requirements
- Currently have, or be in the process of obtaining, a PhD in computer vision, computer graphics, machine learning, or a related field.
- Hands-on knowledge of state-of-the-art model architectures (e.g., multi-view transformers, diffusion/autoregressive models) for image, object, scene, or video reconstruction, understanding, and generation.
- Experience with PyTorch and Python.
- Understanding of 3D geometry, statistical data analysis, and mathematical modeling.
- Excellent interpersonal and communication skills, with the ability to collaborate across groups and cultures.
- High levels of creativity and quick problem-solving capabilities.
- Must obtain and maintain work authorization in the country of employment.
Skills
- Generative models (e.g., diffusion/autoregressive models)
- Multi-view transformers (e.g., VGGT, MapAnything)
- 3D/4D representations (point clouds, Gaussian Splatting)
- Video generation (e.g. WAN/Cosmos)
- Inverse rendering techniques
- 3D computer vision
- Computer graphics
- Deep learning models
- Software engineering
- AI native coding practices
Experience Level
- PhD student
- Proven track record of achieving significant results
- Demonstrated software engineer experience
Education Level
- PhD in computer vision, computer graphics, machine learning, or a related field
About the Company
- The Reality AI Research team explores, develops, and ships novel and cutting-edge technologies for 3D/4D scene reconstruction, understanding and generation, serving as the foundation for future wearables and AI products.
- Our team is tackling a variety of technical challenges across the entire tech stack, including but not limited to model architecture development, data curation, and large-scale model training.