Research Engineer - 3D World Models
Core
Develop cutting-edge generative 3D machine learning methods to create physically-grounded 3D environments from images, video, and other inputs.
Role type
Research Engineer (Generative 3D AI)
Builds
Physically-grounded 3D world models, reconstruction pipelines, and novel view synthesis systems
Domain
Generative AI, Computer Vision, 3D Graphics, Robotics
Deliverable
production ML models
Required skills
Deep learning fundamentals, Generative models (diffusion, transformers), 3D data processing (camera geometry, depth, reconstruction), Point clouds, Meshes, 3D Gaussian Splatting, Python, PyTorch, Model training and optimization, Research implementation
Preferred skills
None stated
Technologies
PyTorch, Python
Responsibilities
Design and develop generative 3D ML methods; Build, train, optimize, and evaluate models for 3D reconstruction and world generation; Implement 3D representations like point clouds, meshes, and Gaussian Splatting; Develop training pipelines and loss functions; Collaborate on physics-aware priors; Analyze performance and debug failure cases
Seniority
Early-career, hands-on IC
