Research Engineer - 3D Reconstruction

About the role

SpAItial is building next-generation World Models that natively understand the physics and geometry of the world. We are seeking a Research Engineer to advance the quality of our 3D reconstruction by selecting, implementing, and refining state-of-the-art scene representations. This is a hands-on role requiring deep technical knowledge and strong coding skills to bridge the gap between research and production.

Responsibilities

• Advance the quality of 3D reconstruction, from research ideas to working methods.
• Work across the full range of reconstruction problems, including geometry, appearance, materials and lighting, sparse or incomplete observations, dynamic scenes, and large-scale environments.
• Build and improve reconstruction methods across the full spectrum, from per-scene optimization to feed-forward models.
• Stay at the frontier of scene representations, implement new ones as they appear, and adopt or extend them where they win.
• Tune losses, priors, and optimization strategies to improve fidelity, robustness, and efficiency.
• Build rigorous evaluations on public and internal benchmarks, and use them to drive decisions.
• Collaborate with research and engineering colleagues to bring successful methods into production systems.

Required skills

• 3D reconstruction
• Gaussian splats
• Radiance fields
• Multi-view geometry
• Camera models
• Rendering
• Deep learning frameworks

Nice to have

• PhD in computer vision
• Research publications

Qualifications

• Bachelor’s or Master’s degree in computer science, computer vision, graphics, or a related field
• Equivalent practical experience

About the Company

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.