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AI Deepfake Detection Analyst

Ryan Kovacs

Full-time · Job · London

About the role

Have you ever wanted to work on a problem where the adversary is actively trying to defeat your model every single week? Synthetic media used in disinformation campaigns and executive impersonation scams is getting harder to catch with static detection methods. You'll build and continuously retrain deepfake detection models covering video, audio, and image manipulation, working closely with our threat intelligence analysts who see new manipulation techniques in the wild first. This role requires staying genuinely current with generative model research, since today's detector is often obsolete in months.

Responsibilities

  • Build and retrain deepfake detection models across video, audio, and image modalities
  • Track emerging generative techniques and update detection strategies accordingly
  • Partner with threat intelligence analysts on real-world manipulation samples
  • Benchmark detection accuracy against continuously evolving adversarial content

Requirements

  • Strong PyTorch and TensorFlow experience for computer vision model development
  • Deep understanding of computer vision techniques applied to media forensics
  • Comfort working in an adversarial, fast-changing threat landscape
  • Experience with generative model architectures a strong plus

Benefits

  • Fully remote, London-anchored team
  • Private health insurance
  • Research and conference budget
  • 25 days annual leave plus bank holidays

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Categories

AI & Machine Learning Engineers data science & analytics

Skills

python computer vision pytorch tensorflow

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

AI & Machine Learning Engineers data science & analytics

Skills

python computer vision pytorch tensorflow

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