Computer Vision Research Engineer

Computer Vision Research Engineer

Location: London (Hybrid – 3 days per week)

Type: Full-time

Salary: £100,000–£125,000 + Bonus + Equity + Excellent Benefits

Help Build the Future of Physical AI. We're building cutting-edge technology that enables machines to understand, navigate and interact with the physical world.

Using one of the world's largest geospatial datasets, our platform transforms everyday imagery into highly detailed 3D reconstructions and powers next‑generation spatial intelligence for robotics, industrial automation, infrastructure and AI applications.

We're looking for a Computer Vision Research Engineer to join our London-based research team and help develop state‑of‑the‑art 3D reconstruction technology that moves rapidly from research into production.

This is an opportunity to work alongside internationally recognised researchers across computer vision, machine learning, graphics and robotics while publishing at leading conferences and shipping technology used by enterprise customers.

• 3D Reconstruction
• Structure‑from‑Motion (SfM)
• Neural Scene Representations
• 3D Gaussian Splatting
• Geometric Deep Learning
• Feed‑forward Models
• Spatial Foundation Models

• Conduct original research in computer vision and machine learning
• Design and evaluate novel algorithms
• Build large‑scale experimentation and benchmarking frameworks
• Work closely with engineering teams to transition research into production
• Develop technology that operates under real‑world capture conditions and hardware constraints
• Publish research at leading conferences including CVPR, ICCV, ECCV, SIGGRAPH and related venues

• PhD in Computer Vision, Machine Learning, Robotics, Computer Science, Mathematics, Physics or a related field (or equivalent industry experience)
• Strong research background in 3D Computer Vision, including one or more of:
  • 3D Reconstruction
  • Structure‑from‑Motion
  • SLAM
  • Depth Estimation
  • Novel View Synthesis
• Strong publication record at top‑tier research conferences
• Excellent Python and PyTorch skills
• Evidence of taking research from concept into real‑world systems (production products, open‑source projects or deployed research)
• Ability to independently lead research projects from idea through experimentation and publication