Red Team Engineer (AI)

Location: New York City headquarters or remote within the United States.

Salary: $155,000–$185,000 base compensation, plus potential bonus, equity, and benefits.

Company

hirify.global is an AI cybersecurity company developing an API-first platform for detecting deepfakes and AI-generated audio, video, images, and text for enterprise and government customers.

What you will do

• Run continuous adversarial testing against detection models across audio, video, image, and text, including newly released generative tools and techniques.
• Build realistic end-to-end attack simulations involving voice cloning, synthetic video, media injection, multimodal impersonation, and coordinated attack scenarios.
• Develop and maintain red team infrastructure, including test harnesses, attack catalogs, and adversarial datasets used to validate model releases.
• Prioritize findings, provide clear reproduction steps to AI scientists and engineers, and verify remediation through regression testing.
• Track generative AI research, commercial tools, open-source models, and threat actor techniques to identify likely emerging threats.
• Partner with Product, AI, Data, Security, Sales, Marketing, and Solutions Engineering on roadmap priorities, threat briefings, platform testing, and safe-handling practices for synthetic media.

Requirements

• 4+ years of experience in offensive security, adversarial machine learning, AI red teaming, or machine learning engineering with a strong adversarial focus.
• Hands-on experience generating synthetic media, including voice cloning and TTS, face swapping, lip-sync, and diffusion-based image and video tools, in an offensive or research context.
• Strong Python skills and practical machine learning fluency with PyTorch or a similar framework.
• Working knowledge of adversarial machine learning techniques, including evasion, adversarial perturbations, compression and post-processing attacks, data poisoning, and model robustness measurement.
• Ability to communicate technical findings as prioritized, actionable guidance for technical and non-technical audiences and work effectively with ambiguity and minimal supervision.

Nice to have

• Background in media forensics, signal processing, speech or audio, or computer vision.
• Traditional red team or penetration testing experience across cloud, APIs, or web applications; relevant certifications such as OSCP; or familiarity with Garak, PyRIT, or the Adversarial Robustness Toolbox.
• Published research, conference talks, CVEs, or open-source contributions in adversarial machine learning, deepfakes, or AI security.

Culture & Benefits

• Healthcare plans with 100% employee premium coverage and partial dependent coverage, plus dental and vision plans with 100% premium coverage for employees and dependents.
• Short- and long-term disability and life insurance with 100% employee premium coverage, plus FSA/HSA and 401(k) programs.
• Equity compensation, 20 days of paid time off annually, and 12 weeks of parental leave.
• Learning and development budget, monthly wellness benefits, and an annual company-sponsored offsite.
• NYC headquarters employees receive daily in-office lunch, commuter benefits, remote Fridays, happy hours, and local events.

Hiring process

• Get familiar with the detection model architecture, red team program, test harnesses, and adversarial dataset.
• Meet AI, Data, Product, and Security counterparts and reproduce recently released generative tools against production models.
• Deliver an initial written findings report with prioritized detection gaps.