Adversarial ML Engineer — Deepfake Defense & Testing

present of AI; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Reality Defender in New York seeks a security-focused researcher to probe our own deepfake detectors by simulating fraudsters and turning weaknesses into fixes for the AI team. The candidate should have 4+ years in offensive security or adversarial ML, experience cloning voices and performing face swaps, and strong Python with PyTorch.

Clear reports and independent work matter as much as tech skill. Join a fast-moving environment building defenses for real-time media analysis and detection

Qualifications

• 4+ years in offensive security or adversarial ML.
• Experience cloning voices and performing face swaps.
• Strong Python programming with PyTorch.

Responsibilities

• Attack our own deepfake detectors to replicate fraudster techniques.
• Turn findings into actionable fixes for the AI team.
• Produce clear written reports and work with minimal direction.

Skills

Offensive security

Adversarial ML

Python

PyTorch

Voice cloning

Face swap

Job description

Reality Defender in New York seeks a security-focused researcher to probe our own deepfake detectors by simulating fraudsters and turning weaknesses into fixes for the AI team. The candidate should have 4+ years in offensive security or adversarial ML, experience cloning voices and performing face swaps, and strong Python with PyTorch.

Clear reports and independent work matter as much as tech skill. Join a fast-moving environment building defenses for real-time media analysis and detection