AI Research Director at P-1 AI | San Francisco | Rezi

AI Research Director at P-1 AI

AI Research Director

P-1 AI · San Francisco

2 months ago

AI Research Director

P-1 AI · San Francisco

2 months ago
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About the Role

You will lead and grow a team of world-class AI researchers to drive an applied research agenda focused on multiphysics reasoning, spatial reasoning, complex tool use, and long-horizon agentic execution. This role sits at the intersection of advanced research and ambitious product application, requiring a high-agency leader to push the boundaries of current AI capabilities.

Responsibilities

  • Develop and execute the AI research agenda in collaboration with the CEO
  • Recruit, retain, and lead a team of world-class AI research talent
  • Execute research initiatives as an individual contributor
  • Represent the company at conferences and within the broader AI research ecosystem
  • Manage model training compute resources
  • Establish an applied AI research capability for the P-1 Defense subsidiary

Requirements

  • Accomplished AI researcher with a track record of projects and publications
  • Experience with large multi-modal models, world models, or reinforcement learning
  • Proven leadership and management experience in startup, lab, corporate, or academic settings
  • Demonstrated interest in AI for the physical world
  • Eligible for a security clearance
  • Ability to work in-person at the San Mateo office

Skills

  • Multiphysics reasoning
  • Spatial reasoning
  • Complex tool use
  • Continual learning
  • Long-horizon agentic execution
  • Large multi-modal model training
  • Reinforcement learning
  • Team leadership

Location

  • San Mateo, CA

Work Type

  • Full-time
  • In-person

Salary/Compensations

  • Significant equity component

Benefits

  • Healthcare insurance
  • Dental insurance
  • Vision insurance
  • 401k with employer matching
  • Unlimited PTO
  • Relocation support

About the Company

  • P-1 AI is building an engineering AGI with a focus on the built world.
  • The company is backed by $23 million in seed funding led by Radical Ventures.
  • The team includes experts in deep learning and model-based engineering.