Computer Vision Research Engineer

Niantic Spatial, Inc.

Computer Vision Research Engineer developing 3D reconstruction technology at Niantic Spatial. Conducting research and collaborating on algorithms while working with cross-disciplinary teams in a hybrid model.

Posted 6/18/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £96,300 - £107,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Nice to Have
Experience with classical reconstruction tooling (COLMAP etc).
C++ or CUDA, and a feel for performance and on-device constraints.

Benefits

Comp & perks

Offers Equity
Offers Bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

computer visionmachine learning3D reconstructionneural scene representations3D Gaussian Splattinggeometric deep learningstructure-from-motiondepth estimationnovel view synthesisprogramming in Python

Soft Skills

independent researchidea generationproject managementcollaborationcommunication

Certifications

PhD in Computer VisionPhD in RoboticsPhD in Machine LearningPhD in Computer SciencePhD in MathematicsPhD in Physics