Chi tiết tin tuyển dụng
Thỏa thuận
TP. Hà Nội
Toàn thời gian
Mô tả 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.
Yêu cầu ứng viên
- 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.
Quyền lợi được hưởng
- Competitive salary + performance bonus & benefits
- Full equipment support (e.g. dev machine, mobile devices for testing)
- Insurance & social benefits as per law
- Opportunities for learning, research, attending conferences, professional growth
- Collaborative, fast-paced, product-driven environment
Địa điểm làm việc
Tầng 2, Tòa G4-G5 Fivestar, số 2 Kim Giang, phường Khương Đình, Hà Nội.
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