Applied AI Researcher - World Reconstruction and Generation
Germany, Remote
R
EUR 31K-42K (estimate) Entry-level Full Time
Tasks
- Adapt deep learning novel view synthesis methods
- Automate experiments for faster model iteration
- Build evaluation workflows for quality triage and regression detection
- Build generative image and video modeling pipelines
- Collaborate with researchers and developers to productize research results
- Create scene completion models
- Develop agentic AI assisted research workflows
- Develop deep learning world reconstruction methods
- Handle viewpoint and trajectory generation beyond sensor path
- Implement neural rendering
- Improve realism consistency and controllability of generated scenes
- Prototype python pytorch experimental solutions
Perks/Benefits
Skills/Tech-stack
3D Gaussian Splatting | 3D Reconstruction | Agentic AI | Autonomous Systems | C# | C++ | CUDA | Closed Loop | Closed-loop simulation | Computer Graphics | Computer Vision | Deep learning | Differentiable Rendering | Gaussian Splatting | Generative Models | Image Generation | Machine Learning | Nerf | Neural Rendering | Novel View Synthesis | PyTorch | Python | Regression testing | Robotics | Scene Completion | Simulation | Synthetic data | Video Generation | View synthesis
Education
Roles
AI Researcher | Applied AI Researcher | Computer Scientist | Researcher | Scientist
Language: en
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