Senior Applied Researcher & Lead - 3D Reconstruction & Deep Learning
Palo Alto, California, United States - Remote
R
USD 180K-250K Senior-level Full Time
Tasks
- Apply NeRF and gaussian splatting techniques
- Build SfM SLAM and multi view stereo pipelines
- Build novel view synthesis systems
- Develop deep learning models for 3D vision
- Develop pose estimation and room layout estimation models
- Implement 3D reconstruction methods
- Improve depth estimation and scene understanding algorithms
- Integrate models into consumer products
- Publish research in leading conferences
- Track post launch performance and iterate
- Use diffusion models for view synthesis
Perks/Benefits
Skills/Tech-stack
3D Reconstruction | 3D Scene Understanding | C++ | Computer Vision | Deep learning | Depth Estimation | Diffusion Models | Gaussian Splatting | Inverse Rendering | Multi-view Stereo | Nerf | Neural Rendering | Novel View Synthesis | Pose Estimation | PyTorch | Python | RGB-D | RGB-D Fusion | Room Layout Estimation | SFM | SLAM | Scene Understanding | View synthesis
Education
Regions
Countries
States
Cities
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