Research Scientist – 3D Environment Reconstruction

The role

You will architect and train proprietary 3D reconstruction pipelines from scratch. You will transform multi-modal data into photorealistic digital environments using techniques like 3D Gaussian Splatting and NeRFs.

What you will do

• Design, train, and scale state-of-the-art models for dense 3D geometry extraction across multi-GPU clusters.
• Reconstruct high-fidelity, physically accurate digital twins of real-world environments.
• Compress, optimize, and package massive 3D scene representations for high-framerate rendering.
• Rapidly prototype new architectures to isolate dynamic actors from static environments.
• Resolve algorithmic bottlenecks and fuse novel hardware sensor integrations.

Required qualifications

• Deep expertise in 3D Computer Vision, Neural Rendering, multi-view geometry, and spatial modeling.
• Proven experience training and scaling large-scale 3D vision models from scratch using PyTorch and multi-terabyte datasets.
• Experience writing custom CUDA kernels to accelerate 3D operations, ray marching, or rasterization.

Nice to have

• First-author publications in top-tier venues (CVPR, ICCV, ECCV) focusing on 3D deep learning, neural rendering, or spatial transformers.
• Specific projects that include deploying 3D assets to WebGL, custom rendering engines, or optimizing splats for interactive viewing that are available publicly.

About the company

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies.