AI Imaging & Deepfake Detection Engineer (m/f/d)

We are looking for an engineer with experience in image analysis, photography, computer vision, and AI to develop systems for detecting deepfakes and manipulated media. The focus is on analysis, pattern recognition, and intelligent verification of image and video content.

Department: Engineering / AI Research
Employment Type: Full-time
Remote Mode: Remote
About the Role

We are looking for an AI Imaging & Deepfake Detection Engineer with an interest in image analysis, computer vision, and AI-driven media forensics.

You will work on systems that detect manipulated image and video content and develop methods to automatically identify deepfakes, synthetic media, and visual inconsistencies.

This role combines technical expertise, photographic fundamentals, and modern AI technologies to build intelligent media analysis systems.

This position is fully remote and open worldwide.

Your Responsibilities
  • Develop systems for detecting deepfakes and manipulated media
  • Analyze visual patterns, inconsistencies, and synthetic artifacts
  • Use computer vision and AI models for media analysis
  • Build verification and authenticity mechanisms for images and videos
  • Investigate visual indicators such as lighting, shadows, reflections, perspectives, and anatomical inconsistencies
  • Build datasets, evaluation pipelines, and testing procedures
  • Collaborate with AI and engineering teams to integrate detection systems
  • Research and evaluate new approaches in AI-powered media forensics
Your Profile
  • Experience in computer vision, AI, or image analysis
  • Understanding of photographic and visual fundamentals
  • Experience with machine learning or deep learning
  • Knowledge of Python and AI/CV frameworks
  • Analytical mindset and strong attention to detail
  • Interest in media authenticity, detection systems, and visual analysis
Nice to Have
  • Experience with OpenCV, PyTorch, or TensorFlow
  • Experience with image or video processing
  • Experience with AI forensics or deepfake detection
  • Understanding of GANs, diffusion models, or generative AI
  • Experience with datasets, evaluation, or model training
  • Interest in digital authenticity and trust systems
Technologies & Areas
  • Computer Vision
  • Machine Learning / Deep Learning
  • OpenCV
  • PyTorch / TensorFlow
  • Image & video analysis
  • AI detection pipelines
  • Media forensics
What We Offer
  • Work on cutting-edge AI topics
  • Research and development in media authenticity
  • Remote-first culture
  • Flexible working hours
  • Small teams and fast decision-making
  • Room for experimentation and innovation

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