Research Engineer - 3D Reconstruction

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.

Requirements

• Bachelor’s or Master’s degree, or equivalent experience, in computer science, computer vision, graphics, or a related field.
• Solid understanding of multi-view geometry, camera models, and rendering.
• Strong coding skills, and the ability to take a method from a paper to a working implementation.

Key qualifications

Deep, hands-on knowledge of modern scene representations, for example Gaussian splats and radiance fields, and the ability to weigh their trade-offs.

Hands-on experience across the reconstruction spectrum, from per-scene optimization to feed-forward models.

Strong experience with deep learning frameworks, including large experiments and comparisons you can defend.

A PhD or publications in reconstruction are a plus, not a requirement.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.