ML Security Engineer – Red Team & Patch Forecasting Remote

Elloe AI; Austin (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Elloe AI seeks a Member of Technical Staff – ML Security Engineer to lead red-team simulations and patch-risk forecasting. You will drive adversarial testing, build explainability-driven guardrails, and collaborate across infrastructure and risk teams to harden GenAI deployments.

Role emphasizes system-level defense, incident tracing, and forecasting patch windows while aligning with regulatory expectations. Remote-first with NY/DC overlap preferred.

Qualifications

• Deep experience in adversarial ML, red teaming, or fuzz testing.
• Explainability as a security surface should be understood and applied.

Responsibilities

• Lead red-teaming at the system level, from jailbreaking to fuzzing.
• Shape defense logic in AutoHeal and ReplayHeatmap.
• Build guardrails with explainability across the stack.

Skills

Adversarial ML

Red teaming

Fuzz testing

Explainability

Tools

SHAP

Job description

Elloe AI seeks a Member of Technical Staff – ML Security Engineer to lead red-team simulations and patch-risk forecasting. You will drive adversarial testing, build explainability-driven guardrails, and collaborate across infrastructure and risk teams to harden GenAI deployments.

Role emphasizes system-level defense, incident tracing, and forecasting patch windows while aligning with regulatory expectations. Remote-first with NY/DC overlap preferred.