Matterport – Senior Machine Learning/Computer Vision Engineer – 3D Reconstruction and Semantic Understanding
Tasks
- Advance mesh generation and surface reconstruction pipelines
- Apply deep learning and foundation model techniques
- Build segmentation depth estimation multi view geometry and appearance modeling
- Collaborate on end to end pipeline failure mode analysis
- Develop camera pose estimation algorithms
- Evaluate and integrate computer vision research into production
- Implement intelligent semantic scene understanding systems
- Manage machine learning lifecycle for data training evaluation deployment and monitoring
- Prototype computer vision and machine learning techniques
- Write Python and C++ production code and tests
Perks/Benefits
- 401k matching
- Commuter benefits
- Comprehensive healthcare coverage
- Dental coverage
- Employee resource groups
- Employee stock purchase plan
- Life insurance
- Mental health counseling
- Mental health counseling services
- Onsite fitness center
- Paid time off
- Parking benefits
- Prescription Drug Coverage
- Tuition reimbursement
- Vision coverage
Skills/Tech-stack
3D Scene | 3D Scene Reconstruction | Agile | Appearance modeling | CUDA | Camera Pose Estimation | Computer Vision | Data collection | Deep learning | Depth Estimation | Differentiable Rendering | GPU Performance | GPU Performance Optimization | Gaussian Splatting | Git | Image Processing | JAX | Machine Learning | Mesh Generation | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Multi-View Reconstruction | Multi-view Geometry | Neural Rendering | Neural radiance fields | OpenCV | Performance optimization | Pose Estimation | PyTorch | Radiance Fields | SLAM | Scene reconstruction | Segmentation | Semantic understanding | Structure from Motion | Surface reconstruction | Texture Generation | Texturing | UV mapping | Visual Odometry
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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