
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.
🔥 1 minute ago
🇪🇸 Spain – Remote
💵 €50k - €75k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
👻 Ghost score 0%
Where this job comes from
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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.
• Design, develop, and evaluate machine learning models for fraud detection, including fraud scoring and ensemble models that combine multiple sources of evidence • Analyze large-scale datasets to identify complex patterns, relationships, behaviors, and anomalies, developing new signals to improve fraud detection • Define robust experimentation and evaluation methodologies, including model calibration, operating thresholds, and performance metrics under realistic production conditions • Develop interpretable and explainable ML approaches that help internal stakeholders and customers understand fraud scores and decisions • Explore innovative approaches to fraud decisioning, including human-in-the-loop techniques and causal methods • Collaborate with Product and Fraud Domain Experts to translate real-world fraud challenges and production feedback into effective machine learning capabilities • Partner with Data Engineering to transform ML prototypes into scalable, maintainable, production-ready solutions • Contribute to model monitoring, governance, technical documentation, ML tooling, and shared best practices across the team • Build machine learning solutions that improve fraud detection and explainability across Mitek's digital identity products • Deliver measurable business value through improved fraud decisions and scalable production capabilities
• A Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field, or equivalent practical experience • Approximately 5 years of experience as a Data Scientist, Applied ML Scientist, or in a comparable role • Strong knowledge of statistical methods, supervised machine learning, and model evaluation, particularly for highly imbalanced classification problems • Hands-on experience in feature engineering and machine learning model development using complex behavioral, relational, or contextual data • Strong programming and analytical skills using Python, PySpark, and SQL • Experience working with cloud-based machine learning and data infrastructure • Strong spoken and written English skills • Comfortable collaborating with distributed teams across different offices and time zones • Experience in fraud detection, financial crime, payments, digital identity, risk, or Trust & Safety • Knowledge of advanced machine learning approaches such as graph-based methods, representation learning, or causal AI • Experience with modern data lakehouse or real-time data technologies such as Apache Iceberg or Apache Pinot • Experience taking machine learning solutions from experimentation into scalable production environments • Confidence working in Linux environment
• Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics • Retirement/pension plan contributions • MTK stock plan participation • Life event & disability coverage • Generous annual leave • Company holidays • Volunteer time off • E-learning license • Tuition reimbursement • Hackathons • Home office setup allowance • Pet insurance • Identity theft protection • Legal assistance • Base + 10% Annual Bonus + Equity
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