niantic-spatial - Computer Vision Resarch Engineer
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Requirements
• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered. • A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. • Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc. • Strong programming skills in Python and experience in PyTorch. • Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar. • Ability to independently drive research projects from idea generation through experimentation and publication. • Experience with classical reconstruction tooling (COLMAP etc). • C++ or CUDA, and a feel for performance and on-device constraints. • Equal Opportunity
Responsibilities
• Conduct original research in computer vision, machine learning, and spatial AI. • Design, implement, and evaluate novel algorithms for: • 3D reconstruction • Neural scene representations • 3D Gaussian Splatting • Geometric deep learning • Structure-from-Motion (SfM) • Feed-forward models • Spatial foundation models • Collaborate with research scientists and engineers to transition promising ideas into future products. • Develop large-scale experiments and benchmarking frameworks. • Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers. • Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
Benefits
• £96,300 - £107,000 + bonus / equity / benefits • Location & Work Model • London, UK. Hybrid — at least 3 days per week in office. Niantic Spatial sponsors work visas for many roles. We can’t guarantee sponsorship for every role or every candidate, but if we make you an offer, we’ll make a reasonable effort to support your work authorization. • Inclusive Application
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