Senior Data Scientist

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 forpresentation attack detection (PAD)anddeepfake 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 realisticbenchmarks and red-team suites; report metrics (FAR/FRR), ROC/PR, calibration; run ablations and adversarial stress tests. Ship models with clear latency/SLA targets; partner with engineers onscalable inference APIsand monitoring (drift, false-positive hot spots). Translate fraud patterns into model features anddetection rules; collaborate with product, fraud ops, and key customers. Track state-of-the-art CV/DL and adopt techniques that improvesecurity, latency, or cost; align withISO/IEC 30107 (PAD)best practices. Work independently or in a team to solve complex problem statements

Requirements: Advanced degree in a quantitative fieldorequivalent experience, and3+ yearsbuilding/launchingcomputer vision&deep learningmodels (biometrics, PAD, or deepfake detection preferred). Strong CV/DL fundamentals: modern backbones/transformers, temporal models, contrastive/metric learning, robustness techniques. Proficient inPythonandPyTorch(or TensorFlow); OpenCV/FFmpeg; proven track record taking modelsfrom notebook → productionwith experiment tracking, CI/CD, and post-deploy monitoring. Clear communication, ownership mindset, and bias to ship.

Nice to have: Deepfake forensics (GAN/diffusion artifacts, watermark/signature checks). On-device/low-latency inference (TensorRT, ONNX Runtime, TFLite, Core ML, NNAPI), CUDA kernels, or inference compilers. Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Familiarity withISO/IEC 30107(PAD),ISO/IEC 19795(biometric performance),ISO/IEC 39794(biometric data interchange). Synthetic data/simulation to cover rare attacks.

About VIDA Digital Identity VIDA is a government-licensed certificate authority (CA) operating under Indonesia’s Ministry of Electronics and Information Technology. Our key offerings include: Legally valid digital signatures ensuring secure and scalable identity solutions. Trusted identity verification services for industries such as BFSI, eCommerce, telecommunications, and healthcare. Advanced AI-driven fraud prevention: VIDA leverages sophisticated AI models to detect and prevent deepfake frauds, enhancing security and trust in digital interactions. Seamless integration to help businesses reduce onboarding friction while prioritizing user privacy and data security. For more information, you may visit our website at https://vida.id