Senior Data Scientist
1 week ago
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. - Ship models with clear latency/SLA targets; partner with engineers on
scalable inference APIs
and monitoring (drift, false-positive hot spots). - Translate fraud patterns into model features and
detection rules
; collaborate with product, fraud ops, and key customers. - Track state-of-the-art CV/DL and adopt techniques that improve
security, latency, or cost
; align with
ISO/IEC PAD)
best practices. - Work independently or in a team to solve complex problem statements
Requirements:
- Advanced degree in a quantitative field
or
equivalent experience, and
3+ years
building/launching
computer vision
&
deep learning
models (biometrics, PAD, or deepfake detection preferred). - Strong CV/DL fundamentals: modern backbones/transformers, temporal models, contrastive/metric learning, robustness techniques.
- Proficient in
Python
and
PyTorch
(or TensorFlow); OpenCV/FFmpeg; proven track record taking models
from notebook → production
with 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 with
ISO/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
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