Research Scientist, Embodied AI

Niantic Spatial, Inc.

. Develop new spatial representations that embodied AI can learn from, train in, and act on .

Posted 9/23/2026full-timeLondon • United KingdomMid-LevelSenior💰 £103,500 - £202,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing spatial representations for embodied AI, with a strong focus on 3D scene representation, simulation-based learning, and real-to-sim pipelines. Proficient in Python and deep learning frameworks, with a solid publication record in top research venues.

Highest-signal resume keywords

PhD In Computer VisionRobotics Or Embodied AI Expertise3D Scene RepresentationsPython ProficiencyGPU Programming Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

3D Scene RepresentationSim-To-Real TransferPolicy EvaluationGenerative ModelsDiffusion ModelsOpen-Vocabulary Scene UnderstandingGaussian SplattingNeural FieldsC++ ProficiencyCustom CUDA Kernels

Soft Skills

CollaborationResearch Presentation

Tools & Technologies

PyTorchDeep Learning LibrariesDifferentiable Rendering

Industry Keywords

Spatial Intelligence3D ReconstructionRobotic Policy LearningDomain RandomizationScene Graphs

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Develop new spatial representations that embodied AI can learn from, train in, and act on
Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning
Solve emerging problems related to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems
Take new capabilities through to evidence, measuring what changed for the policy, not only what changed in the reconstruction
Build proof-of-concept prototypes for internal use, with some running at production scale on customer data
Collaborate with researchers, engineers, and product partners to bring novel models to production
Publish and present research work

Requirements

What you’ll need

PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues
Substantial expertise in robotics or embodied AI, including experience in 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
Experience applying generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture
Experience with 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
Track record of contributing to widely used open-source research codebases
Proficiency in C++ is nice to have

Benefits

Comp & perks

Annual bonus
Equity
Comprehensive benefits package