Research Scientist – Computer Vision (3D Environment Reconstruction)

Mecka AI is building data infrastructure for robotics and embodied AI, including systems for data capture, labeling, and hardware-enabled workflows. The Research Scientist will architect and train proprietary 3D reconstruction pipelines, transform multimodal data into photorealistic digital environments, integrate reconstructed environments into perception systems, and optimize spatial assets for client delivery and interactive viewing.

Responsibilities:

• Advanced Neural Reconstruction: Design, train, and scale state-of-the-art models for dense 3D geometry extraction (e.g., Gaussian Splatting, NeRFs) across multi-GPU clusters to handle massive spatial datasets
• Sim-to-Real Integration: Reconstruct high-fidelity, physically accurate digital twins of real-world environments to provide rich spatial priors that directly improve and regularize downstream robotics pipelines, world models and other sim-to-real training
• Client Delivery & Viewer Optimization: Compress, optimize, and package massive 3D scene representations for high-framerate rendering in client-facing viewers, ensuring clients can interact with our data without sacrificing visual fidelity
• Emergent Perception R&D: Rapidly prototype new architectures to isolate dynamic actors from static environments, resolve algorithmic bottlenecks, and fuse novel hardware sensor integrations