We are seeking a research-driven Senior AI Specialist to lead cutting-edge innovation in Computer Vision and Media Integrity. This role sits at the frontier of generative AI and cybersecurity, focusing on advancing Deepfake technologies while developing robust detection and anti-spoofing systems.
Key Responsibilities:
Lead research and development of state-of-the-art generative models (GANs, Diffusion, Transformers)
Design novel methods for liveliness detection and Presentation Attack Detection (PAD), including rPPG
Conduct adversarial research (red-teaming) to expose and mitigate vulnerabilities in biometric systems
Explore and implement advanced loss functions, optimization strategies, and temporal modeling techniques
Translate research into scalable, real-time Computer Vision solutions
Requirements: MSc/PhD in Computer Science, Mathematics, or related field (strong research background)
Proven experience in Deep Learning research (Computer Vision / Generative AI)
Expertise in PyTorch or JAX
Strong understanding of biometric systems and anti-spoofing methods
Experience publishing research, patents, or open-source contributions - a strong advantage
This position is open to all candidates.