3D Reconstruction Research Scientist/Engineer

Niantic Spatial; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Equity

Comprehensive benefits

London office

Job summary

Niantic Spatial, Inc. in London is seeking a 3D Reconstruction Research Scientist/Engineer to bridge academic research and customer-ready deployment.

You will work on 3D reconstruction, neural scene representations, and spatial AI, turning cutting-edge ideas into practical systems used by real customers. You will collaborate with researchers across CV, ML, graphics, and robotics on large-scale spatial understanding, with scope based on experience.

Qualifications

• PhD in Computer Vision, Robotics, ML, CS, Mathematics, Physics, or equivalent.
• Strong 3D vision research record: reconstruction, depth, SfM, SLAM.
• Multiple high‑profile publications (CVPR/ICCV/ECCV/SIGGRAPH/NeurIPS or equivalent).
• Strong Python programming with PyTorch experience.
• Proven ability to translate research into real features or production pipelines.
• Independent researcher capable of driving projects from idea to publication and handoff.

Responsibilities

• Research & publication — conduct original 3D vision and spatial AI research; publish at top venues.
• Algorithm development — design and evaluate 3D reconstruction, neural scene representations, and related models.
• Research-to-production — transition ideas into customer-facing products with real data and constraints.
• Large-scale experimentation — build and run benchmarks and validate new methods.
• Cross-disciplinary collaboration — work with CV, ML, graphics, and robotics teams.
• Rapid prototyping — implement state-of-the-art methods and deliver working prototypes to customers.

Skills

Python programming

PyTorch

Research independence

3D computer vision

Education

PhD in Computer Vision/Robotics/ML/CS/Math/Physics

Tools

COLMAP

Job description

About Niantic SpatialAI 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 the company. 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 maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.

About the Role

You’ll join our Research Team in London as a 3D Reconstruction Research Scientist/Engineer — working at both ends of the pipeline, from cutting-edge academic research to shipping directly to customers. Our team builds the reconstruction technology that turns casually captured or domain-specific imagery into high-fidelity 3D reconstructions: everything from Structure-from-Motion through 3D Gaussian Splatting, feed-forward models, and generative models. We’ve shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, and published at CVPR, ICCV, ECCV, and SIGGRAPH — more often than not, our papers end up in production.

You’ll work alongside world‑class researchers in computer vision, machine learning, graphics, and robotics on large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models. This role is open to junior and senior researchers; scope and responsibility are calibrated to your experience.

What You’ll Do

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.

What You’ll Bring

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.

Nice to Have

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.

Compensation & 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

We know the strongest candidates don’t always tick every box. 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.

Equal Opportunity

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at the company are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. the company will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Candidate Privacy

I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with the company’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

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