At a Glance
- Tasks: Advance 3D reconstruction methods and collaborate on innovative computer vision projects.
- Company: Pioneering tech company redefining generative AI and 3D environments.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse workplace welcoming applicants from all backgrounds.
- Why this job: Join a team pushing the boundaries of technology and make a real-world impact.
- Qualifications: PhD in computer vision with expertise in 3D reconstruction and strong programming skills.
The predicted salary is between 63000 - 77000 £ per year.
the company is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world.
Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We're seeking a Research Scientist focused on 3D reconstruction.
You will advance methods that recover accurate camera poses and geometry from real-world imagery, working with both classical multi-view geometry and state-of-the-art learned reconstructors.
The work includes structure-from-motion, bundle adjustment, SLAM, or feed-forward reconstruction, with a focus on robustness, accuracy, and methods that hold up on diverse real-world data.
Responsibilities
- Design camera pose estimators and 3D reconstructors.
- Build robust Sf M and camera tracking pipelines for a variety of input imaging sensors.
- Develop bundle adjusters and nonlinear optimizers, including non-perspective camera formulations.
- Integrate and extend SOTA feed-forward reconstructors (VGGT, DA3, Pi3)
- Advance deep multi-view stereo, learned matching, and monocular depth methods for dense geometry.
- Build evaluation metrics for pose accuracy and reconstruction quality, and drive improvements against public & internal benchmarks.
- Scale reconstruction methods to large, diverse real-world datasets while keeping them reliable and efficient.
- Collaborate with researchers to bring reconstruction advances into production systems.
- Key Qualifications
- Ph D in computer vision with a research focus on 3D reconstruction; publications at top venues (CVPR, ICCV, ECCV, Neur IPS).
- Deep understanding of multi-view geometry: camera models, epipolar geometry, triangulation, Pn P, etc.
- Strong familiarity with SOTA deep reconstructors (VGGT, DA3, Pi3) and related areas such as deep MVS, learned matching, and monocular depth estimation.
- Hands-on experience with Sf M/SLAM systems (COLMAP, ORB-SLAM) and nonlinear least-squares solvers (Ceres).
- Experience shipping production-grade 3D reconstruction systems is a strong plus.
- Strong Python and Py Torch skills.
- Comfortable debugging failure cases on challenging real-world data.
At the company, we are committed to creating a diverse and inclusive workplace.
We welcome applications from people of all backgrounds, experiences, and perspectives.
We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
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Research Scientist - 3D Reconstruction (SfM & SLAM) in London employer: United States Digital Space LLC
At our company, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and inclusion. With a strong focus on employee growth, we provide clear career paths, personal learning budgets, and generous benefits such as private healthcare and a flexible work-from-abroad policy. Join us in London and be part of a team dedicated to making a positive impact through greener travel choices while enjoying the perks of a supportive and innovative environment.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - 3D Reconstruction (SfM & SLAM) in London
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We think you need these skills to ace Research Scientist - 3D Reconstruction (SfM & SLAM) in London
Some tips for your application 🫡
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