Senior AI Algorithm Specialist | Computer Vision & Media Integrity

Senior AI Algorithm Specialist – Computer Vision & Media Integrity Department

We’re looking for the architect of the next generation of Computer Vision.

Deepfakes are evolving faster than the systems built to stop them.

We aren't just using AI, we are stress-testing its limits.

From rPPG-based liveliness to high-fidelity temporal consistency in synthetic media, we are hiring a Senior Specialist to lead our Deepfake and Anti- Spoofing research.

Bring your PyTorch mastery to a team with H100 clusters to burn and join us in the fight for global media integrity.

The Mission In an era where the line between reality and synthesis is blurring, we are seeking a visionary Specialist to define the future of media integrity.

This role is at the intersection of generative AI and cybersecurity.

You will not only build state-of-the-art models but also "red-team" them to stay three steps ahead of the most sophisticated synthetic media and identity fraud techniques in the world.

Key Responsibilities:

• Deepfake Innovation: Design and refine state-of-the-art generative architectures (GANs, Diffusion Models, Transformers) for facial reenactment and latent space manipulation.
• Liveliness & Security: Develop industry-leading Presentation Attack Detection (PAD) systems to identify 3D masks, digital injections, and high-resolution replay attacks.
• Adversarial Research: Play both sides of the "AI arms race"—building tools to find vulnerabilities in biometric systems so you can architect the systems that can't be fooled.
• Optimization & Scale: Implement high-performance Computer Vision (CV) pipelines for real-time inference on both high-end cloud clusters and edge devices.
• Mathematical Rigor: Apply custom loss functions and gradient optimization to solve complex artifacts in synthetic video.

Why Join Us?

• Access to elite-tier compute power (H100/A100 clusters).
• Work at the absolute cutting edge of AI ethics, security, and digital forensics.
• A collaborative environment that values peer-reviewed research, patents, and open-source contributions.

Job requirements:

• Academic Background: PhD or MS in Computer Science, Mathematics, or a related field with a heavy focus on Deep Learning and Computer Vision.
• Framework Mastery: Expert-level proficiency in PyTorch or JAX (CNNs, Vision Transformers, and Optical Flow).
• Domain Expertise: Vast experience with Deepfake frameworks (e.g., DeepFaceLab, FaceSwap) and biometric science (texture analysis, depth estimation).
• Anti-Spoofing Experience: Proven success in implementing rPPG (remote photoplethysmography) and other non-intrusive liveliness detection methods.
• Deployment Skills: Experience with NVIDIA TensorRT, ONNX, and Quantization- Aware Training for high-speed deployment.