Founding Member of Technical Staff

<p>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!</p> <h2 id="tasks">Tasks</h2> <p>As a founding member of technical staff, you will help us design and build a scalable ML system from the ground up. This includes:</p> <ul> <li>Build and maintain production ML/LLM systems</li> <li>Deploy, optimize, and monitor inference pipelines</li> <li>Evaluate models, build red-teaming agents and guardrails</li> <li>Improve reliability, latency, and cost of model serving</li> <li>Shape best practices around AI safety and reliability</li> </ul> <h2 id="requirements">Requirements</h2> <p>What we are looking for:</p> <ul> <li>MSc or PhD in ML, NLP, computer science, or related field</li> <li>Strong software and ML engineering fundamentals</li> <li>Experience deploying production LLM systems</li> <li>Works across infra, backend, and model integration</li> <li>High ownership, autonomy, bias toward execution</li> </ul> <h2 id="benefits">Benefits</h2> <p>We offer:</p> <ul> <li>Competitive compensation with equity</li> <li>Flexible hours, remote-friendly setup</li> <li>Generous vacation, learning & conference budget</li> <li>Top-tier equipment and tooling</li> <li>Growing team, low bureaucracy, direct impact</li> <li>Shape AI security from the ground up</li> </ul>