Machine Learning Engineer – IV, Biometrics

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Jumio Corporation

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Jumio Corporation is a global leader in AI-driven identity verification solutions that help businesses onboard new customers quickly while keeping fraudsters out. With a platform trusted by leading brands worldwide, Jumio processes over 1 billion transactions and supports more than 5,000 ID types across 200 countries and territories. It uses advanced AI and machine learning models to provide predictive fraud insights, ensuring compliance with AML requirements and enabling seamless user experiences. Jumio offers solutions in various industries like financial services, healthcare, gaming, and more, allowing businesses to prevent fraud and protect their reputation.

📋 Description

• Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) • Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. • Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX • Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. • Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. • Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

🎯 Requirements

• Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. • Deep expertise in computer vision and biometrics, especially face recognition. • Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. • Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. • Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. • Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

🏖️ Benefits

• Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. • IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation