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Member of Technical Staff – ML Security Engineer (Red Teaming + Patch Risk Forecasting)
Elloe Ai
KenyaRemote11mo ago
- Employment
- Full-time
- Seniority
- Staff
About the role
- 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
- Forecast deployment risks based on incident graph trends
- Automate “patch windows” based on SHAP mismatch clusters
- Help convert audit traces into product-stoppable violations
- 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
- A safety portfolio tied to real red team incidents, not just demos
- Impact on critical infrastructure used by hospitals, central banks, and governments
- A seat at the table defining what trustworthy GenAI actually means
- Start Date: Flexible (Q3 ideal)
- Location: Remote-first; timezone overlap with NY or DC preferred
- Comp: Competitive salary + equity
- To Apply: Share one failure mode you’d simulate in a next-gen red team harness.
Perks & benefits
- Equity Compensation
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