Research and learning

Computer vision and spatial perception

Computer vision and spatial perception is the work of getting useful information out of images, video and depth data, or generating it. AI companies need it so their products can see, measure and make sense of the physical world.

More products now take in pictures and video, not just text, and teams are finding that off-the-shelf models stop short in real settings. Lighting changes, cameras differ, and unfamiliar objects turn up. The hires are tricky because the field is wide. A strong detection engineer may know little about 3D geometry or video. Medical imaging and robot control also carry their own domain demands, so check the fit carefully.

Hiring now 3Emerging 1

Roles in this family

4 roles

Hiring nowComputer Vision EngineerA Computer Vision Engineer builds detection and recognition systems that work in a defined setting, and proves how well they work. Companies rely on…Hiring now3D Vision ResearcherA 3D Vision Researcher recovers spatial structure from images and depth data, then proves it holds up. Companies building robotics, mapping, AR or…Hiring nowVideo Understanding ScientistA Video Understanding Scientist builds models that recognise actions, events and the dependencies between them in video. Companies hire for this…EmergingOpen-World Perception ResearcherAn Open-World Perception Researcher builds vision models that know when they are looking at something unfamiliar. That matters because a system that…

Where the people come from

Computer vision, image processing or applied ML

Not to be confused with. Medical imaging and robot control have distinct domain requirements.

Core skills

  • Experimental design
  • Deep learning
  • Computer vision
  • Uncertainty quantification

Where it is used

  • Cross-sector AI platforms
  • Manufacturing
  • Architecture construction and property

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