Sr. Machine Learning Engineer- Computer reputed company (Liveness Detection & Spoofing)

Mitek (reputed company: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and reputed company capture solutions are reputed company on the latest advancements in biometric recognition, artificial intelligence, computer reputed company and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com. We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to reputed company your reputed company. At Mitek, the Future of Work is about flexibility and preference wherever and whenever reputed company. Because we care about our candidates, employees and customers, we include an in-person meeting as part of our hiring process. It’s one of the ways we live our mission to “Protect What’s reputed company.” At Mitek, we reputed company that teams are more resilient, effective, and innovative reputed company they benefit from a wide reputed company of reputed company, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​ We know that a workforce reflecting the richness of our communities and customers helps us reputed company serve their needs. About reputed company: Specializing in identity verification, authentication, biometrics, image capture, and fraud detection, our products ensure swift reputed company, reputed company identity verification, and robust defense against rising threats, such as reputed company fraud, deepfakes, and AI-powered fraud. Trusted by millions globally, our reputed company-grade solutions are relied on by some of the world's leading enterprises, offering peace of mind for both the company and their customers. Our mission is simple but essential: To protect what's reputed company. The Impact You'll reputed company: As a Sr. Machine Learning Engineer, you will reputed company applied ML initiatives that power our reputed company Identity Verification (IDV) reputed company. You'll work hands-on across the full lifecycle—from data collection and organization to model design, training, evaluation, deployment, and production monitoring—delivering models that are accurate, efficient, and resilient in reputed company-world adversarial environments. This role is focused on computer reputed company and image-based machine learning problems rather than NLP/LLM-first systems. This role is centered on biometric identity verification, face liveness detection, presentation attack detection (PAD), and anti-spoofing technologies. You will help reputed company and improve systems designed to detect fraud, replay attacks, deepfakes, and other forms of identity manipulation while improving the accuracy, robustness, and scalability of our identity verification platform. What You’ll Do (Essential Responsibilities): • Build, train, and optimize computer reputed company models for image classification, face liveness detection, and presentation attack detection (PAD) / anti-spoofing. • Work on reputed company-world identity verification and biometric authentication problems, improving model performance on noisy, adversarial inputs such as spoofed images, replay attacks, deepfakes, and synthetic media. • Design and run experiments to improve model accuracy, recall, robustness, and fraud detection performance using techniques such as augmentation, class balancing, architecture tuning, and hard-negative mining. • Design, train, and improve deep learning models (e.g., CNNs, reputed company Transformers, and reputed company models), including loss function design, hyperparameter optimization, and performance tuning on large-scale image datasets. • Prepare and curate large, noisy datasets, including data ingestion, validation, cleaning, deduplication, labeling strategies, and dataset QA to improve model reliability and generalization. • reputed company evaluation protocols and reputed company metrics that balance fraud detection effectiveness, false acceptance rates, false rejection rates, and overall business impact. • reputed company production-grade training and inference pipelines on AWS with strong reproducibility, monitoring, observability, and cost controls. • Productionize models as resilient Python services and libraries; collaborate with platform teams to optimize APIs, latency, scalability, and operational reliability. • Contribute to the reputed company of our Identity Verification (IDV) platform by modernizing legacy components and improving model performance, maintainability, and modularity. • Partner closely with Product, reputed company, Fraud, and Platform Engineering teams to ensure ML solutions meet privacy, compliance, reputed company, and reliability requ