Research Scientist, Embodied AI

About Niantic Spatial

At Niantic Spatial were building the future of physical AI. Powered by a proprietary database of over 30 billion posed images our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand represent navigate and engage with the real environment.

Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics the public sector and energy and industrial markets - building for the 80% of economic activity that takes place beyond our screens.

About the Role

Niantic Spatial makes the physical world computable helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems were helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. Were applying our teams decades of experience encoding the world precisely as it is at Google Maps Google Earth and Niantic Labs to build the scalable real-to-sim stack for embodied AI.

Niantic Spatials 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.

Were passionate about discovery so were looking for scientists who want to learn publish teach and deploy every new invention.

What Youll Do

• 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.

What Youll Bring

• A 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.

• 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.

Compensation & Benefits

Base salary range of 103500 to 202500. 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 dont always tick every box. If youre excited about this role and believe you could do it well we encourage you to apply even if your experience doesnt match every qualification listed - you may be exactly who were looking for.

Equal Opportunity

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial 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. Niantic Spatial 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

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