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