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.

• 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.

• 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.

Inclusive Application

We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.