Embodied AI Research Scientist - Spatial (London Hybrid)

Niantic Spatial, Inc.; London; Híbrido; NOK 1 303 000 - 2 550 000; Tempo integral

Resumo da oferta

Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.

We're looking for scientists who want to learn, publish, teach, and deploy every new invention while collaborating closely with researchers, engineers and product

Qualificações

• Substantial expertise in robotics or embodied AI, including sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning.
• Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations.
• You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture.
• You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs.
• Proficiency in Python and Deep Learning libraries such as PyTorch.
• GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering.
• A track record of contributing to widely used open-source research codebases.
• Nice to have: Proficiency in C++.

Responsabilidades

• Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on.
• Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning.
• Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems.
• Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction.
• Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data.
• Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production.
• Publish Your Work - Publish and present your work.

Formação académica

PhD in computer vision, robotics, graphics, machine learning, or related field

Ferramentas

CUDA

PyTorch

Descrição da oferta de emprego

Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.

We're looking for scientists who want to learn, publish, teach, and deploy every new invention while collaborating closely with researchers, engineers and product