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Jobs(26,730)/Research Scientist Role(90)/niantic-spatial (3) - 3D Reconstruction Research Scientist/Engineer
niantic-spatial

niantic-spatial - 3D Reconstruction Research Scientist/Engineer

London+ Equity2w ago
In OfficeEMEAArtificial IntelligenceRoboticsResearch ScientistResearch EngineerPythonCUDAC++

Requirements

• PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field — or equivalent demonstrated research experience in industry. • A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas. • A meaningful publication record at top-tier venues (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or equivalent). • Strong programming skills in Python and hands-on experience with PyTorch. • Evidence that you can carry an idea from research into something real — a shipped feature, a production pipeline, a widely used open-source release, or similar. • The independence to drive research projects from idea generation through experimentation, publication, and handoff. • Experience with classical reconstruction tooling (COLMAP or similar). • C++ or CUDA experience, and a feel for performance and on-device constraints. • Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D. • EQUAL OPPORTUNITY

Responsibilities

• Research & Publication — Conduct original research in 3D computer vision, machine learning, and spatial AI; publish findings at top-tier venues including CVPR, ICCV, ECCV, and SIGGRAPH. • Algorithm Development — Design, implement, and evaluate novel algorithms across 3D reconstruction, neural scene representations, 3D Gaussian Splatting, SfM, meshing, geometric deep learning, feed-forward models, generative models, and spatial foundation models. • Research-to-Production — Collaborate with research scientists and engineers to transition promising ideas into customer-facing products — working directly with real capture conditions, real hardware constraints, and real customers on short turnarounds. • Large-Scale Experimentation — Build and run large-scale experiments and benchmarking frameworks to rigorously validate and advance new methods. • Cross-Disciplinary Collaboration — Partner with world-class researchers in CV, ML, graphics, and robotics to advance large-scale spatial understanding, localization, reconstruction, and geospatial foundation models. • Rapid Prototyping — Implement and iterate on state-of-the-art methods for both academic publishing and production deployment, delivering working prototypes to enterprise customers with speed and quality.

Benefits

• Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. • LOCATION & WORK MODEL • This role is based in our London office, with three days per week in office. • INCLUSIVE APPLICATION

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