Research Scientist Intern, 3D World Modeling, Robotics and Generative AI (PhD)

What you'll do

• Research and develop methods for machine perception, state estimation, and 3D scene reconstruction and rendering.
• Build experiments and prototypes with researchers and engineers for AR/VR and AI systems.
• Evaluate approaches, curate datasets, and report research results for scientific submissions.

What they ask for

• Currently pursuing or obtaining a PhD in computer vision, computer graphics, 3D machine perception, or machine learning.
• Hands-on experience with 3D and projective geometry, 3D computer vision algorithms, and end-to-end ML model training.
• Experience with Python, PyTorch, and Unix environments.
• Must obtain and maintain work authorization in the country of employment; intend to return to a degree program after the internship.

Nice to have

• First-authored publications or other significant research results, such as grants, fellowships, or patents.
• Research experience in neural reconstruction, inverse rendering, neural rendering, object reconstruction and tracking, or generative modeling.

Tools

Python, pytorch, Unix, CVPR, ECCV/ICCV, SIGGRAPH/SIGGRAPH Asia, ICLR, NeurIPS

AI focus

Research on egocentric world models, action-conditioned video synthesis, multimodal generation, and the impact of world models on reinforcement-learning policy learning.