Lead Computer Vision Engineer

Senior Computer Vision & Deep Learning Scientist — Liveness & Deepfake Detection

Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Computer Vision & Deep Learning AI Scientist specializing in Liveness and Deepfake detection to join our dynamic team. Your work will directly impact the security and reliability of VIDA's identity verification systems.

Responsibilities :

• Design, train, and deploy CV / DL models for presentation attack detection (PAD) and deepfake detection (print / replay, 2D / 3D masks, screen replays, injection, face-swap / GAN / diffusion).
• Own datasets end-to-end : collection strategy, labeling specs, quality gates, hard-negative mining , bias / fairness audits.
• Build realistic benchmarks and red-team suites ;
• report metrics (FAR / FRR), ROC / PR, calibration;

run ablations and adversarial stress tests.

partner with engineers on scalable inference APIs and monitoring (drift, false-positive hot spots).

collaborate with product, fraud ops, and key customers.

align with ISO / IEC 30107 (PAD) best practices.

Requirements :

proven track record taking models from notebook → production with experiment tracking, CI / CD, and post-deploy monitoring.

Nice to have :

About VIDA Digital Identity