Senior Machine Learning R&D Engineer – Matterport
Core
Research and build foundational neural reconstruction and generative systems to create photorealistic 3D digital twins from sparse or noisy spatial data.
Role type
Senior IC machine learning research engineer (3D generative AI)
Builds
Foundational reconstruction models and generative systems for Matterport's digital twin platform
Domain
Real estate technology / 3D spatial computing / Generative AI
Deliverable
production ML models
Required skills
Machine learning research, computer vision, neural rendering, generative modeling, Python, PyTorch, deep learning architectures, optimization techniques, large-scale model training
Preferred skills
Ph.D. or Master's in CS/CV/ML/Graphics, 5+ years applied ML R&D experience, expertise in Gaussian splatting/NeRFs/diffusion models, 3D computer vision (SLAM/point clouds), distributed training infrastructure, top-tier publication record
Technologies
PyTorch, Python, NumPy, Pandas, Gaussian splatting, NeRFs, diffusion models
Responsibilities
Research and train large-scale foundational models for 3D reconstruction and generative scene completion; Advance state of the art in neural rendering and novel view synthesis; Develop generative approaches to complete occluded regions and synthesize viewpoints; Design and optimize scalable training/inference pipelines for 3D datasets; Translate research prototypes into production-ready systems; Define evaluation methodologies and benchmarks for reconstruction quality; Collaborate with product and engineering teams to deliver high-impact features; Contribute to architectural design and strategic roadmap; Contribute to intellectual property through patents and publications
Seniority
Senior, hands-on IC with research leadership
