Senior Machine Learning R&D Engineer – Matterport
Tasks
- Advance neural rendering and novel view synthesis
- Collaborate on technical feasibility and delivery
- Define evaluation methodologies and benchmarks
- Develop diffusion based generation pipelines
- Drive ML roadmap and model architecture
- Implement scalable training and inference pipelines
- Integrate models into production systems
- Publish patents and technical publications
- Research and build 3D reconstruction models
- Train generative scene completion models
Perks/Benefits
- 401k matching
- Commuter benefits
- Employee resource groups
- Employee stock purchase plan
- Fitness center access
- Healthcare coverage
- Mental health counseling
- Onsite fitness center access
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
3D Generation | 3D Reconstruction | Cloud processing | Computer Vision | Data Curation | Data Curation Pipelines | Deep learning | Differentiable Rendering | Diffusion Models | Distributed Training | Evaluation benchmarks | GPU Training | Gaussian Splatting | Generative Modeling | Machine Learning | Mesh Processing | Multi-GPU | Multi-GPU Training | Multi-view Geometry | Nerf | Neural Rendering | Novel View Synthesis | NumPy | Pandas | Point Cloud | Point Cloud Processing | PyTorch | Python | SLAM | Structure from Motion | Transformers | Video Generation | View synthesis
Education
Regions
Countries
States
Cities
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