Artificial Intelligence Engineer

Are you an ambitious AI Engineer ready to apply cutting-edge machine learning to the frontier of media integrity and security?

We’re looking for a creative and technically sharp AI Engineer to join a fast-moving team on a mission to combat synthetic media and digital impersonation using state-of-the-art AI.

In this hands-on role, you’ll research, develop, and deploy machine learning models that detect deepfakes across audio, video, and images—helping build real-time detection systems used by enterprise and government clients. From transformer-based architectures to adversarial model training, you’ll work with high-impact, real-world datasets and see your models directly shape mission-critical tools.

Whether you're early in your career or bringing 2–4 years of hands-on ML experience, this is your opportunity to make a difference in one of the most important challenges of the AI era.

What’s in it for you?

🔍 Purpose-Driven ML Work: Detect deepfakes, defend against audio/visual impersonation, and apply AI to protect truth in digital media.

🤝 Collaborative Engineering Culture: Partner with AI researchers, ML engineers, and product teams to deliver robust, real-time AI systems.

🚀 Research & Deployment: Apply and experiment with modern architectures like transformers, GANs, and foundation models—from prototyping to production.

🏙️ Hybrid Flexibility: Work remotely or from our London office, with flexibility to match how you work best.

What We’re Looking For:

• 2–4 years of experience in applied machine learning or AI research
• Strong programming skills in Python and frameworks like PyTorch or TensorFlow
• Experience with deep learning architectures (e.g. CNNs, transformers, or GANs)
• Familiarity with audio or video datasets and media processing techniques
• A problem-solving mindset and passion for working on meaningful, complex challenges

Nice to Have:

• Experience with MLOps tools (e.g., Weights & Biases, MLflow, Docker)
• Knowledge of adversarial learning, signal processing, or forensic ML techniques
• Contributions to AI research or open-source ML projects

If you’re excited to develop AI that safeguards truth in an age of synthetic media—and want your work to have real-world impact—we’d love to hear from you.

Apply now and help shape the future of AI-powered trust.