Senior Machine Learning Engineer - (Biometrics)
Core
Lead the design and scaling of production face recognition systems, including face attributes, detection, quality, and recognition.
Role type
Staff/Senior Machine Learning Engineer (Biometrics/Computer Vision)
Builds
End-to-end ML pipelines for biometric identity verification systems
Domain
B2B Identity Verification, Financial Services, Fintech, Travel
Deliverable
production ML models
Required skills
Computer vision, Biometrics/Face recognition, Python, PyTorch, TensorFlow, JAX, AWS, Airflow, Model optimization (quantization, distillation), Fairness analysis
Preferred skills
Research publications (CVPR, ICCV, ECCV, FG), Vector databases (Milvus, Faiss), Privacy/security compliance, Mobile/Edge deployment (CoreML, LiteRT, TFLite), Synthetic data generation (GANs, diffusion models)
Technologies
PyTorch, TensorFlow, JAX, Airflow, TensorRT, ONNX, AWS SageMaker, AWS EC2, AWS EKS, Milvus, Faiss, CoreML, LiteRT, TFLite
Responsibilities
Lead design and development of computer vision systems for biometrics; Perform rigorous fairness analysis and benchmarking of biometric models; Architect, train, and optimize models; Own and evolve end-to-end ML pipelines from data ingestion to deployment; Optimize models for low-latency inference and manage deployment on AWS; Mentor ML engineers and drive technical best practices
Seniority
Staff/Senior, hands-on IC with mentorship responsibilities