Computer Vision Researcher (VLM)

Building a living model of the world that people and machines can talk to. Powered by a proprietary database of over 30 billion posed images and a next-gen digital map, they are developing the spatial intelligence that helps humans and machines understand, navigate, and engage with the physical world.

As a Technical Anchor in their London R&D hub, you will bridge the gap between 3D computer vision and Vision-Language Models (VLMs), creating a unified framework where machines can reason about their surround.

What You’ll Doing:

• Architect Semantic Grounding: Lead research into cross-modal grounding connecting 3D spatial features with language embeddings.
• Scale Understand Capabilities: Develop algorithms for continuous semantics, allowing 3D maps to evolve and improve situational awareness.
• Agentic Frameworks: Build the spatial brain for Embodied AI, enabling robots, drones, and machines to move into mission-level reasoning.
• Mult...