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About the Role
We are seeking an exceptional AI Research Scientist/Manager to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
Responsibilities
- 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
- 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.
Skills
- Spatial reasoning
- Geometric understanding
- Physical reasoning
- Structured world modeling
- 3D reasoning
- Geometric representations
- Multimodal reasoning
- World models
- Simulation
- Physical intuition
- Python
- PyTorch
- JAX
- Distributed training frameworks
- CAD data
- Point clouds
- Meshes
- Geometric representations
Location
- San Mateo, CA
Work Type
- Onsite
- Full-time
Experience Level
- Junior
- PhD (or equivalent experience)
Education Level
- PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
Benefits
- Competitive salary
- Meaningful equity ownership
- Healthcare
- Dental
- Vision
- 401(k) match
- Unlimited PTO
About the Company
- At P-1 AI, we are building an AI engineer agent for the physical world named Archie.
- We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer.
- Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use.
- Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat.
- Our ultimate aim is to build engineering ASI.
- We are backed in our mission by some of the top venture investors and AI luminaries.