Join the Future of AI Research

Shape Tomorrow

Join the world's first multi-agent research lab

We're building the future where autonomous agents collaborate to simulate entire industries and civilizations. Be part of the team that's defining the next era of artificial intelligence.

Palo Alto, California
In-Person Collaboration
Our Vision

The Future We're Building

We're creating a world where autonomous agents work together to solve humanity's greatest challenges— from simulating entire industries to modeling complex civilizations

World's First Multi-Agent Lab

Pioneering research lab focused on multi-agent collaboration and coordination

Agent Communication

Developing sophisticated protocols for agents to communicate and collaborate

Industry Simulation

Creating digital twins of entire industries through multi-agent frameworks

Civilization-Scale Vision

Ultimate goal of simulating entire civilizations and complex societies

From Multi-Agent Systems to Civilization Simulation

Our ultimate goal is ambitious: to create autonomous agent systems capable of simulating and optimizing entire civilizations. This isn't just research—it's the foundation for humanity's next evolutionary leap.

Ideal Candidate

Who We're Looking For

We seek exceptional individuals who combine deep technical expertise with the drive to push the boundaries of what's possible

Exceptional Work Ethic

Relentless dedication

Individuals who thrive on challenging problems and push boundaries consistently

Research Excellence

Deep technical expertise

Strong background in AI/ML research with publications or significant projects

Open Source Leader

Active contributor

500+ GitHub commits demonstrating consistent, high-quality development

Proven Impact

Results-driven

Track record of delivering transformative solutions and driving results

Requirements

What It Takes

We maintain exceptionally high standards because we're tackling some of the most complex challenges in AI research

Technical Excellence

500+ GitHub commits with consistent contribution history

Strong proficiency in Python, distributed systems, or ML frameworks

Experience with multi-agent systems, reinforcement learning, or related fields

Proven ability to work with large-scale systems and complex architectures

Research Background

PhD in Computer Science, AI/ML, or equivalent industry experience

Published research papers or significant open-source contributions

Deep understanding of agent-based modeling and simulation

Experience with cutting-edge AI/ML research and implementation

Professional Qualities

Exceptional work ethic with ability to work intensively on complex problems

Strong communication skills and ability to collaborate in a research environment

Self-motivated with ability to drive projects from conception to completion

Passion for pushing the boundaries of what's possible with AI

Join Our Team

Your Path to Impact

Our hiring process focuses on practical demonstration of skills rather than traditional interviews

1

Initial Conversation

Schedule a call to discuss your background, interests, and alignment with our mission

45-60 minute deep dive into your experience, research interests, and career goals

2

Technical Demonstration

Showcase your expertise through meaningful contributions to our framework

Complete 3 substantial pull requests that demonstrate your technical skills and problem-solving approach

3

Technical Review

Our research team evaluates your contributions for technical excellence and innovation

Comprehensive assessment of code quality, architectural thinking, and research potential

4

Welcome to the Team

Join the world's first multi-agent research lab and help shape the future

Begin your journey in advancing multi-agent collaboration and autonomous systems

Open Positions

Available Roles

Join our mission to build the future of autonomous agent technology

Senior Agent Researchers
Critical Hire
Research
Palo Alto, CA
Full-time
Competitive + Equity
Lead groundbreaking research in autonomous agent development, multi-agent coordination, and emergent intelligence systems.

Drive research initiatives in agent learning, reasoning, and collaboration. Work directly with our founding team to publish cutting-edge research and build the future of multi-agent systems.

Infrastructure Engineers
Critical Hire
Engineering
Palo Alto, CA
Full-time
Competitive + Equity
Build and scale the computational infrastructure that powers our multi-agent research and deployment systems.

Design distributed training systems, experiment tracking platforms, and deployment infrastructure. Work with cutting-edge GPU clusters and high-throughput data pipelines.

Research Interns
Internship
Stanford & Bay Area
Summer/Part-time
Competitive Stipend
Exceptional students from Stanford and top-tier universities working on ambitious multi-agent research projects.

Direct mentorship from senior researchers, access to significant compute resources, and opportunities to publish in top-tier venues. Focus areas include agent learning and multi-agent simulations.

Don't See Your Role?

We're always open to exceptional talent across all disciplines. If you're passionate about multi-agent systems and want to help build the future, we want to hear from you.

Let's Talk

Ready to Make History?

Join us in building the infrastructure and intelligence that will power the next generation of autonomous agents and multi-agent systems. Help us simulate and optimize entire civilizations.