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. Were 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
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 sel...
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. Were 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