NS
London, England, United Kingdom· Full-time· Remote
PythonMachine LearningAI
NS
Active2w ago
3D Computer Vision Research Engineer - World Map
Salary not disclosed
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Role overview
Job description
About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used
…About this listing
- Source: Niantic Spatial's official careers site (via Ashby) · last confirmed on the source 4 Nov 2026
- Posted 19 Oct 2026
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What they are looking for
Skills & requirements
Qualification
What You'll Bring Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience; Nice to Have PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued; 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; Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws
Department · Engineering
Hiring company
Niantic Spatial
We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. World models imagine the world. We measure it: metric scale, geometry, coordinates and georeferencing.
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