---
title: 'Member of Technical Staff – ML Security Engineer (Red Teaming + Patch Risk Forecasting) at Elloe AI'
canonical: 'https://feeny.ai/job/member-of-technical-staff-ml-security-engineer-red-teaming-patch-risk-kfqrxs0gn25j'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff – ML Security Engineer (Red Teaming + Patch Risk Forecasting) at Elloe AI

- **Company:** Elloe AI
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-07-14
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/elloe-ai/am9icG9zdDr6ik_C0YVjQjCV4rEDq_-p

## Job description

Full-time | Remote | Adversarial ML | Reports to Head of Risk

## About Elloe

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.

## About the Role

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

1. 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

1. System-Level Defense

- Build explainability-linked guardrails across the stack
- Collaborate with infra and explainability leads on enforcement crossover

## Who You Are

- 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

## Why It Matters

Red teaming isn’t an afterthought. It’s how Elloe gets trusted to run in places that can’t afford to fail.

## Why Now

Major regulators are asking for test results before they approve AI deployment. Institutions want defensible logs, not theoretical attacks. This is the moment when red teaming goes from research to required.

You’ll Leave This Role With

- 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

Logistics & Application

- 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.

## About Elloe AI

## Company Overview
- **One-liner**: Elloe AI provides a real-time compliance layer that acts as an “immune system” for AI, making large language models safe to deploy across regulated industries.
- **Entity Type**: Private (Pre-Seed, $1M total funding)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2022 (Pre-Seed round closed April 2022)
- **Founders**: Owen Sakawa (CEO & Co-Founder), Jackson Mwaniki (CTO & Co-Founder), Aaron Madolora (CPO & Co-Founder)

## Core Business
- **Primary industry**: AI Safety & Governance, Enterprise Compliance, Cybersecurity
- **Target customers**: Governments, hospitals, financial institutions, and other regulated enterprises (B2B)
- **Mission statement**: “Build the immune system for AI—systems that make AI safe, truthful, and compliant in the real world.”

## Products & Services
- **Elloe AI Platform**: An API/SDK that sits on top of an LLM’s output layer, providing three “anchors”:
  1. **Fact-checking anchor** – verifies responses against trusted sources.
  2. **Regulatory compliance anchor** – checks for violations of HIPAA, GDPR, PII exposure, and other regulations.
  3. **Audit trail anchor** – logs every decision, source, and confidence score for full traceability.
  The platform is not built on another LLM, but uses machine learning and human-in-the-loop oversight.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Annual Revenue ~$870K (company-reported); Total Funding $1M (Pre-Seed, led by Mad Ventures in April 2022)
- **Notable Investors/Partners**: Mad Ventures (sole lead investor in Pre-Seed round); also acquired Saada (2022)
- **Growth Signals**: Finalist (Top 20) in TechCrunch Disrupt 2025 Startup Battlefield; headcount growth trending negative (-16.7% YoY) but still hiring for multiple roles as of late 2025; offices opened in Nairobi and London; claims to have prevented 100,000+ medical errors, blocked $20M+ in biased loans, and protected 12M+ AI-driven risks.

## Competitive Advantages
- **Not an LLM judging LLMs**: Elloe AI’s system uses its own ML models and human analysts, avoiding the “Band-Aid on a wound” problem of having one LLM check another.
- **Multi-layer anchor system**: Fact-checking, regulatory compliance, and full audit trail are built-in, not bolted on.
- **Regulatory expertise**: The company keeps up with evolving global regulations (HIPAA, GDPR, etc.) and employs humans-in-the-loop to stay current.
- **Early trust in regulated verticals**: Already deployed by governments, hospitals, and enterprises, giving them domain-specific credibility.

## Strategic Focus
- **Deepen compliance capabilities**: Expand coverage of regulatory frameworks and jurisdictions.
- **Global expansion**: Offices in Austin, Nairobi, and London suggest a push into North America, Africa, and Europe.
- **Product development**: Building out “anchors” for more use cases, and possibly edge inference for GPU environments (as seen in job postings for Principal Engineer – Distributed Systems).
- **Talent acquisition**: Actively hiring for roles in engineering, design, product, policy, and communications – indicating a growth phase focused on scaling the team despite recent headcount dip.

## Why Work Here
- **Mission-driven culture**: The team describes itself as “mission-first, values-led,” focused on making AI safe and trustworthy in critical domains.
- **Small, global team**: With ~10 employees across three continents, new hires can have outsized impact and direct exposure to founders.
- **Flexible work options**: Job postings list “In-Office or Remote” for most roles, with the Austin HQ operating on-site; typical time on-site is listed as “OnSite Workspace” for HQ, but remote arrangements appear available.
- **High-profile visibility**: Being a Top 20 finalist at TechCrunch Disrupt 2025 gives the company industry recognition and a startup event pedigree.
- **Meaningful impact**: The company’s own metrics (100K+ medical errors prevented, $20M+ biased loans blocked) suggest employees contribute to directly measurable social good.
- **Diverse, distributed team**: Team members come from backgrounds including Cerner, SAP, Freshworks, Kenya Power, and others, indicating a mix of enterprise and startup experience.

## Sources
1. [TechCrunch](https://techcrunch.com/2025/10/28/elloe-ai-wants-to-be-the-immune-system-for-ai-check-it-out-at-disrupt-2025/)
2. [LinkedIn](https://linkedin.com/company/elloe-inc)
3. [Elloe AI – Who We Are](https://www.elloe.ai/who-we-are)
4. [Built In – Elloe AI Careers](https://builtin.com/company/elloe-ai)
5. [Gem – Elloe AI Careers](https://jobs.gem.com/elloe-ai)

## Other roles at Elloe AI

- [Member of Technical Staff – AGI Governance Researcher (Constitutional Safety)](https://feeny.ai/job/member-of-technical-staff-agi-governance-researcher-constitutional-safety-elloe-e2zwy76efft6) — San Francisco, CA
- [Principal Engineer – Distributed Systems (GPU Edge + Inference)](https://feeny.ai/job/principal-engineer-distributed-systems-gpu-edge-inference-elloe-ai-austin-1ebxd0k753ff) — Austin, TX
- [Product Manager – Enforcement Infrastructure (LLM + Vault)](https://feeny.ai/job/product-manager-enforcement-infrastructure-llm-vault-elloe-ai-austin-sz8p3dj7n48d) — Austin, TX
- [LLM Red Team Intern (Evaluation Systems)](https://feeny.ai/job/llm-red-team-intern-evaluation-systems-elloe-ai-austin-q8t54b7ywt5w) — Austin, TX
- [Technical Product Intern (Compliance x LLM Ops)](https://feeny.ai/job/technical-product-intern-compliance-x-llm-ops-elloe-ai-austin-c254wg70xaws) — Austin, TX
- [MBA Intern – Strategic Growth & GTM (Founder Office)](https://feeny.ai/job/mba-intern-strategic-growth-gtm-founder-office-elloe-ai-austin-genfb4sn5e6x) — Austin, TX
- [Member of Technical Staff – Explainability Engineer (Alignment + SHAP)](https://feeny.ai/job/member-of-technical-staff-explainability-engineer-alignment-shap-elloe-ai-austin-qfm6yx8k24r7) — Austin, TX
- [Design Intern (Narrative + Interface Systems)](https://feeny.ai/job/design-intern-narrative-interface-systems-elloe-ai-austin-pa5m274e6mn9) — Austin, TX
- [Sales Ops & Revenue Intern (Pilot GTM x Signal Ops)](https://feeny.ai/job/sales-ops-revenue-intern-pilot-gtm-x-signal-ops-elloe-ai-austin-x1b53xdajp4q) — Austin, TX
- [Communications Intern (AI Policy + GTM)](https://feeny.ai/job/communications-intern-ai-policy-gtm-elloe-ai-austin-h6r7bdzaqtb8) — Austin, TX