Computer Vision Researcher (VLM)

Computer Vision Researcher (VLM)

London (Hybrid)

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.
• Multimodal Benchmarking: Define standards for measuring "spatial common sense" in LLMs/VLMs.
• Technical Mentorship: Act as the technical anchor for the London hub, guiding architecture and mentoring researchers.

What We Are Looking For:

• Education: PhD (or equivalent) in Computer Vision, Machine Learning, or Robotics focusing on Multimodal/Semantic understanding.
• Experience: 4+ years of ML research experience with a track record of shipping models bridging 3D Vision and Language.
• Technical Depth: Expert knowledge of 3D Geometry (SfM, SLAM, VPS) and Transformer-based architectures (VLMs).
• Research Impact: Multiple first-author publications at top-tier venues (CVPR, NeurIPS, ICLR).
• Code Mastery: Production-quality research code in PyTorch or JAX + large-scale data pipeline management.
• Location: Ability to work hybrid from their London office (3 days/week)