Mô tả công việc
Tóm tắt công việc
Design, train, evaluate, and deploy computer vision models for face matching (selfie ↔ document / reference image) and face liveness detection / anti-spoofing (detecting attacks from photos, replay, masks, deepfake, etc.).
Optimize models for on-device inference (mobile, edge) - focus on resource constraints (latency, memory, compute).
Build data pipelines: image/video collection, preprocessing, augmentation, alignment, quality checks, normalization.
Monitor model performance in production: metrics like FAR / FRR, ROC / AUC, error cases under challenging conditions (low light, extreme pose, blur).
Collaborate with mobile / SDK / backend teams to integrate models securely into client applications.
Research state-of-the-art techniques in face recognition, spoof detection, domain generalization, and apply to real-world constraints.
Continuously iterate and improve based on real-world feedback, edge cases, and adversarial examples.
Top-market salary, PVI healthcare, and insurance according to Vietnamese Labor Law.
Guaranteed long-term employment with professional development.
Exciting indoor and outdoor activities include modern entertainment facilities (billiards, video games, etc.), engaged club activities, Company trips, Teambuilding, Year-end party...
Entrepreneurial working environment with young and open-minded colleagues.
Open office space that promotes departmental collaboration and transparent communication.
Yêu cầu
Bachelor's / Master's / PhD in Computer Science, AI,
Electrical Engineering, or related fields.
3+ years of experience in computer vision / face recognition / liveness detection / anti-spoofing.
Proven track record of deploying vision models to production, ideally on mobile / edge platforms.
Strong programming skills in Python; familiarity with frameworks like PyTorch, TensorFlow, ONNX, and mobile inference frameworks.
Experience with face detection, face alignment, landmark detection, preprocessing, and image normalization workflows.
Experience in liveness detection methods: texture / reflection / depth cues / motion cues / multimodal approaches.
Experience optimizing models (quantization, pruning, knowledge distillation) for deployment under resource constraints.
Strong problem solving, debugging, and analytical skills.
Good communication skills; ability to explain trade offs to product, mobile, and operations teams.
Thông tin khác
AI (Artificial Intelligence)
Machine Learning
Python
Tensorflow
PyTorch
eKYC
ONNX
Thông tin chung
Nơi làm việc
- Tầng 6 tòa nhà Pax Sky số 63-65 Ngô Thì Nhậm, Hai Ba Trung, Ha Noi
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 29/07/2026