3D Reconstruction Research Scientist/Engineer

About the Role

You’ll join our Research Team in London as a 3D Reconstruction Research Scientist/Engineer — working at both ends of the pipeline, from cutting-edge academic research to shipping directly to customers. Our team builds the reconstruction technology that turns casually captured or domain-specific imagery into high-fidelity 3D reconstructions: everything from Structure-from-Motion through 3D Gaussian Splatting, feed-forward models, and generative models. We’ve shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, and published at CVPR, ICCV, ECCV, and SIGGRAPH — more often than not, our papers end up in production.

You’ll work alongside world-class researchers in computer vision, machine learning, graphics, and robotics on large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. This role is open to junior and senior researchers; scope and responsibility are calibrated to your experience.

What You’ll Do

• Research & Publication — Conduct original research in 3D computer vision, machine learning, and spatial AI; publish findings at top-tier venues including CVPR, ICCV, ECCV, and SIGGRAPH.
• Algorithm Development — Design, implement, and evaluate novel algorithms across 3D reconstruction, neural scene representations, 3D Gaussian Splatting, SfM, meshing, geometric deep learning, feed-forward models, generative models, and spatial foundation models.
• Research-to-Production — Collaborate with research scientists and engineers to transition promising ideas into customer-facing products — working directly with real capture conditions, real hardware constraints, and real customers on short turnarounds.
• Large-Scale Experimentation — Build and run large-scale experiments and benchmarking frameworks to rigorously validate and advance new methods.
• Cross-Disciplinary Collaboration — Partner with world-class researchers in CV, ML, graphics, and robotics to advance large-scale spatial understanding, localization, reconstruction, and geospatial foundation models.
• Rapid Prototyping — Implement and iterate on state-of-the-art methods for both academic publishing and production deployment, delivering working prototypes to enterprise customers with speed and quality.

What You’ll Bring

• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field — or equivalent demonstrated research experience in industry.
• A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
• A meaningful publication record at top-tier venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or equivalent).
• Strong programming skills in Python and hands-on experience with PyTorch.
• Evidence that you can carry an idea from research into something real — a shipped feature, a production pipeline, a widely used open-source release, or similar.
• The independence to drive research projects from idea generation through experimentation, publication, and handoff.

Nice to Have

• Experience with classical reconstruction tooling (COLMAP or similar).
• C++ or CUDA experience, and a feel for performance and on-device constraints.
• Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D.

Compensation & Benefits

Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.

Location & Work Model

This role is based in our London office, with three days per week in office.