Research Scientist (AI Agent Behavior)

Job Description

Research Scientist (AI Agent Behavior) naptha.ai

About this role

We are seeking an exceptional Agent Behavior Scientist to study and optimize how AI agents interact, collaborate, and evolve within large-scale networks. This is a rare opportunity to shape the future of AI agent infrastructure at a massively ambitious scale, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.

We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers (many leaving labs like OpenAI, Anthropic, and DeepMind) to build products powered by enormous networks of highly capable next-generation AI agents. As our Agent Behavior Scientist, you'll develop novel approaches to understanding and optimizing agent behavior patterns and interaction dynamics.

Core Responsibilities

Study and analyze agent behavior patterns in complex networks

Design experiments to understand agent interaction dynamics

Develop frameworks for measuring agent effectiveness

Create models of agent behavior and collaboration

Research optimal patterns for agent coordination

Identify and address behavioral failure modes

Shape the evolution of agent interaction patternsResearch Areas

Agent interaction patterns and dynamics

Emergent behavior in agent networks

Collaborative intelligence optimization

Agent communication effectiveness

Behavioral failure modes and solutions

Agent adaptation and learning patterns

Social dynamics in agent networksYou're a good fit if you have:

PhD or equivalent experience in AI, Complex Systems, Cognitive Science, or related field

Deep understanding of multi-agent systems and behavior

Experience studying emergent behavior in complex systems

Strong analytical and experimental design skills

Track record of novel research in agent systems

Ability to translate behavioral insights into practical improvements

Interest in both theoretical and applied researchRequired Experience:

Proven research experience in agent systems or related fields

Strong programming and data analysis skills

Experience with experimental design and analysis

Track record of impactful research publications

Understanding of AI/ML fundamentals

Experience with behavioral analysis frameworksAbout the hiring process:

Research presentation and discussion

Experimental design challenge

Behavioral analysis deep dive

Team collaboration interview

Research vision workshopCompensation & Benefits:

Highly competitive salary and significant equity stake

Remote-first work environment

Full medical, dental, and vision coverage

Flexible PTO policy

Research conference budget

Publication support

Learning and development budgetAdditional Notes:

Must be comfortable with ambiguity and rapid iteration typical of pre-seed startups

Strong bias for practical implementation of research ideas

Passion for advancing the field of multi-agent systems

Interest in open source contribution and community engagement

This is a unique opportunity to study and shape how AI agents behave and interact at scale, helping define the patterns that will govern the next generation of agent systems.

Full-time

Hybrid remote