**About the Role**

As AI systems-particularly LLMs and agentic AI-become core to our products and internal platforms, understanding how these systems fail is just as important as improving their performance. We are looking for a Senior Applied Scientist to join our AI Red Teaming efforts and focus on adversarial evaluation, failure analysis, and risk discovery in AI models and AI agents.

In this role, you will systematically probe AI systems to uncover unsafe, unintended, or harmful behaviors, including prompt injection, jailbreaks, behavioral drift, tool misuse, and context or memory poisoning. You will design experiments, build evaluation frameworks, and analyze outcomes to surface risks that traditional ML metrics do not capture.

This role is ideal for a data scientist who enjoys working at the edge of model behavior, cares deeply about safety and robustness, and wants to apply scientific rigor to securing real-world AI systems.

**What the Candida...