AI Research Scientist/Manager – Spatial Reasoning

P-1 AI

AI Research Scientist/Manager tasked with innovating and developing spatial reasoning for AI applications in engineering. Joining a small team to push the boundaries of AI applications in the physical world.

Posted 6/30/2026full-timeSan Mateo • California • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $385,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in spatial reasoning, geometric deep learning, and 3D vision, with a strong command of Python and modern ML frameworks like PyTorch or JAX. Proven ability to conduct applied research and integrate findings into large-scale AI systems while thriving in collaborative environments.

Highest-signal resume keywords

Spatial ReasoningGeometric Deep Learning3D VisionPython ProgrammingPyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Spatial ReasoningGeometric Deep Learning3D VisionMultimodal ReasoningWorld ModelsRoboticsSimulationPython ProgrammingPyTorchJAX

Soft Skills

Creative Problem SolvingClear CommunicationHigh Ownership

Tools & Technologies

Distributed Training FrameworksCAD DataPoint CloudsMeshesSimulation Environments

Certifications & Qualifications

PhD in Computer SciencePhD in RoboticsPhD in EngineeringPhD in Math

Industry Keywords

Large-Scale AI SystemsGeometric RepresentationsPhysical IntuitionResearch StrategyTechnical Implementation

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Research and develop new approaches for spatial reasoning, geometric understanding, physical reasoning, and structured world modeling in large-scale AI systems.
Own the full development pipeline from data generation to evaluation to product integration.
Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.
Investigate topics such as 3D reasoning, geometric representations, multimodal reasoning, world models, simulation, and physical intuition.
Stay on the edge of what’s possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).

Requirements

What you’ll need

Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields.
Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
Creative approach to bringing definition and solutions to under-specificed challenges.
Are fascinated by how intelligent systems perceive, represent, and reason about the physical world.
Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
Take a high-ownership, “make it work” approach to problem solving.
A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field is a bonus.
Publications in top-tier venues is a bonus.
Experience working with CAD data, point clouds, meshes, simulation environments, or other geometric representations is a bonus.

Benefits

Comp & perks

Competitive salary
Meaningful equity ownership
Healthcare
Dental
Vision
401(k) match
Unlimited PTO