Senior Machine Learning R&D Engineer – Matterport
Tasks
- Advance neural rendering and novel view synthesis
- Collaborate with product managers and engineers to scope and deliver features
- Contribute to model architecture design and technical roadmap
- Define evaluation methodologies and benchmarks for 3D reconstruction and view synthesis
- Design and optimize scalable training and inference pipelines
- Develop diffusion based approaches for occluded region completion
- Research and build large scale foundational models for 3D reconstruction and generative scene completion
- Stay current with advances in neural rendering and generative modeling
- Translate research prototypes into production systems
Perks/Benefits
- Commuter benefits
- Dental insurance
- Employee resource groups
- Employee stock purchase plan
- Employee wellness
- Fitness center membership
- Health insurance
- Life insurance
- Mental health counseling
- Paid time off
- Parking benefits
- Prescription drug insurance
- Retirement plan matching
- Supplemental insurance
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
3D Reconstruction | Computer Vision | Data pipeline | Deep learning | Diffusion Models | Distributed Training | GPU Training | Gaussian Splatting | Machine Learning | Meshes | Multi-GPU | Multi-GPU Training | Multi-view Geometry | Nerf | Neural Rendering | Novel View Synthesis | NumPy | Pandas | Point clouds | PyTorch | Python | View synthesis
Education
Regions
Countries
States
Cities
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