Machine Learning Engineer – Deepfake & Injection Attack Detection, Face Liveness

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🕒 April 14

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Mitek Systems

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

Artificial Intelligence • Compliance • Security

Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

📋 Description

• Design, train, and deploy machine learning models for image-based fraud detection, including deepfake detection, injection attack detection, and digital manipulation analysis in biometric verification • Work end-to-end across the ML lifecycle: dataset curation, model development and training, evaluation and iteration using fraud-relevant metrics, and production deployment and monitoring • Build robust data pipelines, including data validation, cleaning, and labeling strategies • Define and execute evaluation frameworks focused on real-world performance

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field • 2+ years of experience deploying machine learning models into production • Strong background in computer vision (image-based ML) • Solid programming skills in Python • Hands-on experience with PyTorch and/or TensorFlow • Experience working with real-world datasets and building data pipelines

🏖️ Benefits

• Competitive package • Full Remote contract • Annual Leave • Home Office Allowance • Annual Bonus – up to 10% • Health Insurance • Learning & Development: We promote continuous learning and support role-aligned development opportunities, with access to a complimentary LinkedIn Learning licence.

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