Staff Machine Learning Engineer(Platform - Identity)
Tasks
- Benchmark external ML models and route dynamically across providers and geographies
- Build evaluation layer to catch model regressions
- Build identity graph systems with GNNs
- Develop capture session anomaly detection and bot versus human classification
- Develop face match liveness and presentation attack models
- Implement device fingerprint risk scoring
- Lead identity verification ML architecture and production enforcement
- Mentor engineers and lead technical strategy
- Own identity verification machine learning stack
- Translate compliance and fraud requirements into ML roadmaps
Perks/Benefits
Skills/Tech-stack
AML | AML Compliance | Attack detection | Biometrics | Computer Vision | Face Recognition | Fraud Detection | GNNs | Graph Neural Networks | KYC | KYC/AML | KYC/AML compliance | Language Models | Large Language Models | Liveness Detection | Machine Learning | Model Serving | NLP | Neural Networks | Presentation attack detection | Production ML | PyTorch | Python | Real Time | Real-time Inference | Sequence Models | TensorFlow | Threshold Tuning
Education
N/A
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