Sr. Machine Learning Engineer

Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision 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 enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working. 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 Real.” At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, 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 better serve their needs. About Mitek Systems:  Specializing in identity verification, authentication, biometrics, image capture, and fraud detection, our products ensure swift onboarding, instant identity verification, and robust defense against rising threats, such as check fraud, deepfakes, and AI-powered fraud. Trusted by millions globally, our enterprise-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 real.    The Impact You'll Make: As a Sr. Machine Learning Engineer, you will lead applied ML initiatives that power our next-generation Identity Verification (IDV) engine. 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 real-world adversarial environments. This role is focused on computer vision 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 develop 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.