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