---
title: 'AI Red Team Researcher at Reality Defender'
canonical: 'https://feeny.ai/job/ai-red-team-researcher-reality-defender-new-york-zh1bsz1bshqs'
type: 'job'
last_seen: '2026-10-29'
---

# AI Red Team Researcher at Reality Defender

- **Company:** Reality Defender
- **Location:** New York, NY
- **Compensation:** $155k–$185k
- **Employment:** full-time
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-29
- **Apply:** https://jobs.ashbyhq.com/realitydefender/ad25d275-b8d3-4500-a175-ff39f41cdba5

## Job description

Who we are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup The Red Team Role Reality Defender's AI Red Team exists to break our own detection models before adversaries do. As a Red Team Researcher, you'll get your hands on the newest deepfake tools the moment they appear — voice clones, real-time face swaps, injection attacks, multimodal impersonations — use them the way real attackers would, and turn every failure you uncover into a measurable fix shipped alongside our AI and Data teams. This is a full-time role based at our NYC headquarters or remote within the U.S., reporting to VP of Product. Responsibilities include:

- Run continuous adversarial testing against our detection models across audio, video, image, and text, reproducing new generative tools and techniques as they're released and stress-testing them against production models.
- Build realistic, end-to-end attack simulations that mirror how bad actors actually operate — cloned voices in call centers, real-time synthetic video in onboarding flows and job interviews, virtual camera and media injection, and coordinated cross-channel impersonation.
- Build and maintain repeatable red team infrastructure: test harnesses, attack catalogs, and an evolving adversarial dataset that every model release is validated against.
- Close the loop on findings — prioritize them, hand them to AI scientists and engineers with clean reproduction steps, and verify fixes through regression testing so they stick.
- Track the generative AI landscape (open-source models, commercial tools, research papers, and threat actor tradecraft) and triage which techniques are most likely to be weaponized next.
- Partner with Product to shape roadmap priorities based on what red team findings reveal.
- Support Sales, Marketing, and Solutions Engineering with credible, publishable research and threat briefings for enterprise and government customers.
- Contribute to adversarial testing of the broader platform — APIs and integrations — in partnership with Security.
- Help define the ethical guidelines and safe-handling practices for synthetic media used in testing.

Who you are.

- 4+ years of experience in offensive security, adversarial ML, AI red teaming, or ML engineering with a strong adversarial focus.
- Hands-on experience generating synthetic media — voice cloning and TTS, face swap, lip-sync, diffusion-based image and video tools — in an offensive or research context, not just reading about it.
- Strong Python skills and practical ML fluency (PyTorch or similar): you can build attack tooling, automate testing pipelines, and reason about why a model fails, not just that it did.
- Working knowledge of adversarial ML techniques — evasion, adversarial perturbations, compression and post-processing attacks, data poisoning — and how to measure model robustness.
- Clear communicator who can turn technical findings into prioritized, actionable guidance for engineers and non-technical audiences alike, and who thrives with ambiguity and minimal supervision.
- Background in media forensics, signal processing, speech/audio, or computer vision. (nice to have)
- Traditional red team or penetration testing experience (cloud, APIs, web), relevant certifications (e.g., OSCP), or familiarity with AI security tooling such as Garak, PyRIT, or the Adversarial Robustness Toolbox. (nice to have)
- Published research, conference talks, CVEs, or open-source contributions in adversarial ML, deepfakes, or AI security. (nice to have)

Within 12 months, you'll…

- Be recognized internally as a go-to authority on how deepfakes are made and how they evade detection.
- Have built adversarial testing infrastructure that scales across every modality with minimal manual effort.
- Have red team insights directly shaping the product roadmap and how we talk about risk with customers and government partners.
- Be identifying and leading testing on the next generation of threats — such as AI agent callers and real-time multimodal impersonation — before they show up in production.

What we offer. Reality Defender offers the following benefits to all our employees, regardless of location:

- Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
- Dental and Vision plans with 100% premium coverage for employees and their dependents
- Short/Long-term disability and life insurance plans with 100% premium coverage for employees
- FSA/HSA and 401k programs
- Equity compensation
- 20 days of PTO per year
- 12 weeks of Parental Leave
- Learning and Development budget
- Monthly wellness benefits
- Annual company-sponsored offsite

For employees working from Reality Defender's HQ in NYC, we offer the following benefits:

- Daily in-office lunch through UberEats
- Commuter benefits
- Remote Fridays
- Happy Hours and other local events

Base salary range: $155,000 - 185,000 based on experience and location. Includes equity.

## About Reality Defender

## Company Overview
- **One-liner**: Reality Defender is a deepfake detection platform that protects enterprises and governments from real-time AI-generated media fraud across voice, video, image, and text.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, United States
- **Founded**: 2021
- **Founders**: Ben Colman (CEO), Gaurav Bharaj, Ali Shahriyari

## Core Business
- **Primary industry**: Computer and Network Security / Deepfake Detection
- **Target customers**: B2B – enterprises, financial institutions, government agencies, and critical infrastructure operators
- **Mission**: Become the de facto AI detection standard for large organizations, ensuring trust in an AI-enabled world by providing real-time detection of synthetic media.

## Products & Services
- **Reality Defender API & SDKs**: Award-winning AI models for detecting deepfakes and AI-manipulated media across audio, video, and images. Free tier available for developers.
- **Contact Center Security**: Real-time detection of deepfake impersonations during calls to prevent fraud.
- **Secure Video Conferencing**: Protects video meetings from synthetic media injection and impersonation.
- **Access Security & Fraud Prevention**: Identity verification and user authentication with deepfake detection.
- **Brand & Executive Protection**: Monitors and detects impersonation of executives and brands across channels.
- **Government Solutions**: Tailored detection layers for high-risk environments, including defense and intelligence.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (total funding $48.6M)
- **Key Metric**: Annual revenue $4.5M (estimated); total funding $48.6M across 9 rounds (Series A $33M led by Illuminate Financial, Oct 2024)
- **Notable Investors/Partners**: Illuminate Financial (lead Series A), Comcast NBCUniversal LIFT Labs, SXSW (grant), JPMorgan (Hall of Innovation), World Economic Forum (Technology Pioneer), USA DIU + Japan MOD (Global Innovation Challenge winner)
- **Growth Signals**: 63 employees (+26.9% YoY); recognized as market leader by Gartner (2025); won RSA Conference “Most Innovative Startup” (2024); inducted into JPMorgan Hall of Innovation (2025); operates in 8 countries.

## Competitive Advantages
- **Ensemble detection engine**: Uses hundreds of simultaneous, platform-agnostic techniques to detect the widest array of synthetic content.
- **Multi-modal coverage**: Real-time detection across voice, video, image, and text.
- **Enterprise-grade scale**: Deploy-anywhere solutions integrated into existing workflows (calls, meetings, identity systems).
- **Bleeding edge resilience**: Models are continuously blended, tested, and updated to anticipate new generative AI threats.
- **Strong partnerships and trust**: Advisory council includes former CIA, Google Privacy Officer, and military leaders; clients include financial institutions and government agencies.

## Strategic Focus
- **Current priorities**: Scaling enterprise adoption, expanding into new verticals (finance, government), deepening real-time detection capabilities, and building the “Enterprise Authenticity Layer” for critical communications.
- **Growth direction**: Becoming the standard for deepfake detection in large organizations, investing in research (publications on audio and video detection), and growing the team (10 open positions as of mid-2026).

## Why Work Here
- **Mission-driven**: Work on cutting-edge AI security that directly protects people, institutions, and democratic trust.
- **Culture**: Values of integrity, continuous innovation, cross-functionality, impact, and inclusion. Emphasizes transparency and rigorous testing.
- **Work environment**: Collaborative in-office environment in historic Tribeca, New York City. Team of builders, researchers, and realists.
- **Benefits**: Competitive health and wellness benefits, generous employee perks, and investment in professional growth.
- **Engineering culture**: Bleeding-edge AI research, cross-disciplinary collaboration, and opportunities to publish and contribute to the field.

## Sources
1. [realitydefender.com/company](https://www.realitydefender.com/company)
2. [realitydefender.com/](https://www.realitydefender.com/)
3. [realitydefender.com/careers](https://www.realitydefender.com/careers)
4. [linkedin.com/company/reality-defender](https://www.linkedin.com/company/reality-defender)
5. [jobs.ashbyhq.com/realitydefender](https://jobs.ashbyhq.com/realitydefender)

## Other roles at Reality Defender

- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-reality-defender-new-york-w1s3b53esfzr) — New York, NY
- [Product Manager](https://feeny.ai/job/product-manager-reality-defender-new-york-ccm9mnd1yraz) — New York, NY
- [Quality Assurance Engineer](https://feeny.ai/job/quality-assurance-engineer-reality-defender-new-york-rfmvs7vtehm6) — New York, NY
- [Staff Data Platform Engineer](https://feeny.ai/job/staff-data-platform-engineer-reality-defender-new-york-nvz2cf9yh1gz) — New York, NY
- [Account Executive](https://feeny.ai/job/account-executive-reality-defender-united-states-7v0pgxqk6sts) — United States
- [Communications Manager](https://feeny.ai/job/communications-manager-reality-defender-new-york-547xzs8b5wxq) — New York, NY