Research Scientist, 3D Reconstruction & SLAM

ScholarshipsAds Inc.; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

SpAItial in London is seeking a Research Scientist focused on 3D reconstruction. You will design camera pose estimators and robust SfM pipelines, and advance deep reconstruction methods to handle diverse real-world data.

Applicants should have a PhD in computer vision, strong Python and PyTorch skills, and experience shipping production-grade 3D reconstruction systems. Collaboration with researchers will be a key part of the role.

Qualifications

• PhD in computer vision with a research focus on 3D reconstruction; publications at top venues (CVPR, ICCV, ECCV, NeurIPS).
• Deep understanding of multi-view geometry: camera models, epipolar geometry, triangulation, PnP, etc.
• Strong familiarity with SOTA deep reconstructors (VGGT, DA3, Pi3) and related areas such as deep MVS, learned matching, and monocular depth estimation.
• Hands-on experience with SfM/SLAM systems (COLMAP, ORB-SLAM) and nonlinear least-squares solvers (Ceres).
• Experience shipping production‑grade 3D reconstruction systems is a strong plus.
• Strong Python and PyTorch skills.
• Comfortable debugging failure cases on challenging real-world data.

Responsibilities

• Design camera pose estimators and 3D reconstructors.
• Build robust SfM and camera tracking pipelines for a variety of input imaging sensors.
• Develop bundle adjusters and nonlinear optimizers, including non-perspective camera formulations.
• Integrate and extend SOTA feed-forward reconstructors (VGGT, DA3, Pi3).
• Advance deep multi-view stereo, learned matching, and monocular depth methods for dense geometry.
• Build evaluation metrics for pose accuracy and reconstruction quality, and drive improvements against public & internal benchmarks.
• Scale reconstruction methods to large, diverse real-world datasets while keeping them reliable and efficient.
• Collaborate with researchers to bring reconstruction advances into production systems.

Skills

3D reconstruction

Multi-view geometry

Python

SLAM systems

Debugging real-world data

Education

PhD in computer vision

Tools

COLMAP

ORB-SLAM

Ceres Solver

PyTorch

Job description

SpAItial in London is seeking a Research Scientist focused on 3D reconstruction. You will design camera pose estimators and robust SfM pipelines, and advance deep reconstruction methods to handle diverse real-world data.

Applicants should have a PhD in computer vision, strong Python and PyTorch skills, and experience shipping production-grade 3D reconstruction systems. Collaboration with researchers will be a key part of the role.