Description

Founded in 2002, AU10TIX is the global leader in AI driven identity verification and management, protecting the world’s largest brands against advanced fraud. The company’s future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4-8 seconds while staying ahead of emerging threats and evolving regulatory requirements.

We are Looking for Head of Algorithms for:

• driving continuous improvement in detection rates across all algorithm domains (document fraud, deepfakes, biometrics) while ensuring production-grade performance, scalability, and reliability of deployed models
• Providing technical direction, mentorship, and career development to the Algo group
• Set the overall technical strategy and roadmap for all computer vision algorithm development
• Drive data labeling strategy and ownership across the organization, coordinate with QC, Product and various teams to define intake processes and SLAs
• Prepare and deliver technical presentations for diverse audiences: client-facing ML capability pitches, VP-level strategy decks, and internal architecture reviews
• Ensure PII compliance in algorithm pipelines and participate in cross-departmental compliance mapping initiatives

Model Development & Research

• Own and guide the design, training, and optimization of deep learning models for identity document classification, tampering detection, deepfake detection, and biometric analysis
• Lead model architecture decisions and drive migration to modern architectures

ML Lifecycle & Infrastructure

• Own the end-to-end ML pipeline: data gathering, labeling strategy, training, evaluation, versioning, and deployment
• Drive cloud migration of training pipelines to Cloud ML (compute clusters, experiment tracking, model registry, CI/CD integration)
• Oversee inference optimization: ONNX export, TensorRT FP16 acceleration, GPU benchmarking, and microservices packaging
• Define and maintain evaluation frameworks including demographic fairness testing, ROC/AUC analysis, FAR/FRR metrics, and detection rate tracking at fixed false-alarm thresholds

Requirements

• 10 years of hands-on experience in deep learning and computer vision, with at least 5 years in a senior leadership role managing team leads.
• Proven experience leading and scaling technical teams in a director-level or equivalent capacity
• Strong expertise in CNN architectures and computer vision pipelines
• Production experience with the full ML lifecycle: data collection, labeling, training, evaluation, optimization, and deployment
• Solid understanding of GPU inference optimization and benchmarking
• Strong communication skills, ability to present complex ML topics to both technical and non-technical audiences

Nice to Have

• Domain experience in identity verification, document analysis, or fraud detection
• Experience with deepfake detection (document-level and biometric)
• Experience with cloud ML platforms (Azure ML preferred: compute clusters, experiment tracking, model registry)
• Familiarity with unsupervised/semi-supervised methods
• Knowledge of microservices architecture patterns and containerized deployment (Docker, Kubernetes)
• Experience with object detection frameworks and segmentation models
• Background in LLM integration for document extraction tasks