Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness)

Mitek is a global leader in digital identity verification, biometric authentication, and fraud prevention, leveraging AI, computer vision, biometrics, and machine learning to help organizations securely onboard users and combat emerging threats such as deepfakes and AI-driven fraud.

Location: Remote (Full-time, fully remote organization)

Salary: €50k–€75k/yr

Responsibilities

• 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, production deployment and monitoring.
• Build robust data pipelines, including data validation, cleaning, labeling strategies, and handling class imbalance, bias, and distribution shift.
• Define and execute evaluation frameworks focused on real-world performance, including precision/recall trade-offs, false positive vs. fraud detection balance, and robustness to unseen attack types.
• Collaborate closely with fraud & AI research teams, data collection and annotation teams, MLOps and platform engineering, and product teams.
• Contribute to production ML systems, ensuring scalability, reliability, monitoring, performance tracking, and continuous improvement against evolving threats.

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: access to LinkedIn Learning.

Additional Information

• We take pride in enabling career growth in an environment of innovation and teamwork.
• Our culture emphasizes delivering high-value solutions, continuous learning, collaboration, and impactful outcomes.
• We are committed to competitive, equitable compensation & benefits, and career development opportunities.