LLM Security Intern

AI agents are being deployed everywhere, making high-stakes decisions and increasingly automating research itself. Yet their reliability and security remain unsolved technical problems, on a frontier that keeps shifting. Our mission at Exponential Security Labs is to secure agentic systems through self-improving red-teaming and guardrail agents, leveraging autonomous AI research. We sit at the intersection of safety and self-improvement, building on a decade of research in adversarial robustness and AI safety. We're looking for exceptional people to join us!

Tasks

As an LLM Security Intern, you will help us design and build a scalable ML system from the ground up. This includes:

Build and maintain production ML/LLM systems

Deploy, optimize, and monitor inference pipelines

Evaluate models, build red-teaming agents and guardrails

Improve reliability, latency, and cost of model serving

Shape best practices around AI safety and reliability

Requirements

What we are looking for:

MSc or PhD in ML, NLP, computer science, or related field

Experience with LLMs and agentic systems

Strong Python and ML engineering fundamentals

High ownership, autonomy, bias toward execution

Benefits

We offer:

Path to a full-time position

Competitive compensation

Flexible hours, remote-friendly setup

Top-tier equipment and tooling

Growing team, low bureaucracy, direct impact

A chance to safeguard the agentic playground