Member of Technical Staff - ML Security Engineer (Red Teaming + Patch Risk Forecasting)

Elloe’s safety loop only works if we can simulate attacks before they reach real users. You’ll drive red teaming at the system level - from jailbreaking to fuzzing and help shape the defense logic in AutoHeal and ReplayHeatmap.

What You’ll Build

1. Red Team Simulation Engine * Launch adversarial attacks (prompt injections, bypass chains, logic traps) * Generate incident traces used to train AutoHeal patch logic * Contribute to fuzzing harnesses, risk scoring, and breach labeling

2. Security Patch Forecasting * Forecast deployment risks based on incident graph trends * Automate “patch windows” based on SHAP mismatch clusters * Help convert audit traces into product-stoppable violations

3. System-Level Defense * Build explainability-linked guardrails across the stack * Collaborate with infra and explainability leads on enforcement crossover

• Deep experience in adversarial ML, red teaming, or fuzz testing
• Understands how explainability can be a security surface
• Bonus: experience with threat modeling, diff-testing, or jailbreak detection

Elloe is the trust layer for AI.

We sit between the world’s most powerful language models and the institutions that can’t afford to get it wrong - hospitals, banks, regulators. We trace and block failures in real time. That’s not marketing - we’re deployed at the European Commission, with NIH clinical trials, and inside a Top-5 EU bank catching GDPR violations live.

This is the enforcement layer GenAI has been missing. We’re not visualizing problems - we’re fixing them., Red teaming isn’t an afterthought. It’s how Elloe gets trusted to run in places that can’t afford to fail.