--- title: 'Machine Learning Scientist at Mitek Systems' canonical: 'https://feeny.ai/job/machine-learning-scientist-mitek-systems-spain-edpjxqrrkvem' type: 'job' last_seen: '2026-10-28' --- # Machine Learning Scientist at Mitek Systems - **Company:** Mitek Systems - **Location:** Spain - **Compensation:** €50k–€75k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-28 - **Last confirmed live:** 2026-10-28 - **Apply:** https://jobs.lever.co/miteksystems-2/fc60f269-a11d-4685-b82c-4aeae05b5867 ## Job description 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. ## What You Will Do - 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. ## What You Need - A Bachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field, or equivalent practical experience. - Skills and expertise typically gained through 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. What Would Be Nice - 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. ## Who You Are - A pragmatic and hands-on machine learning practitioner who focuses on solving meaningful business problems rather than adding unnecessary model complexity. - Naturally curious, with a passion for discovering patterns and relationships in data and experimenting with new approaches. - Comfortable using data and evidence to challenge assumptions and influence technical and product decisions. - Collaborative and willing to share knowledge, mentor colleagues, and contribute to continuous improvement. - A confident communicator with strong spoken and written English skills. - Comfortable collaborating with distributed teams across different offices and time zones. - Self-motivated, adaptable, and able to work autonomously while contributing positively to a team. What Success Looks Like - Deliver measurable impact: Develop and improve machine learning models that strengthen fraud detection, support more accurate decisions, and deliver tangible business value. - Turn insights into innovation: Identify meaningful patterns, behaviors, and relationships in complex datasets and translate them into effective fraud detection signals. - Build reliable, explainable ML solutions: Create models that are robust, interpretable, and evaluated against realistic production conditions. - Take ideas into production: Work closely with Data Engineering to transform promising ML experiments into scalable, maintainable solutions. - Drive continuous improvement: Use experimentation, production feedback, and emerging ML techniques to improve model performance and fraud decisioning. - Make an impact through collaboration: Partner with Product, Fraud Domain Experts, and technical teams to solve complex challenges, share knowledge, and advance ML best practices. We take pride in enabling career growth in an environment of innovation and teamwork.  Our commitment to all Mitekians is to do meaningful work that matters.  Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes.  We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities. Benefit offerings – may vary based on geographic location Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics Financial future: retirement/pension plan contributions, MTK stock plan participation Income protection: life event & disability coverage Paid time off: generous annual leave, company holidays, volunteer time off Learning: e-learning license, tuition reimbursement, hackathons Home office setup allowance Additional/optional benefits: pet insurance, identity theft protection, legal assistance We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further! ## About Mitek Systems ## Company Overview - **One-liner**: Mitek Systems is a global leader in digital identity verification and fraud prevention, providing enterprise-grade solutions that use AI, biometrics, and image capture to protect digital transactions. - **Entity Type**: Public (NASDAQ: MITK) - **Headquarters**: San Diego, California, United States - **Founded**: 1986 (company timeline states 1986, but some sources also cite 1985 [linkedin.com](https://linkedin.com/company/miteksystems)) - **Founders**: Not publicly available ## Core Business - **Primary Industry**: Digital Identity Verification, Fraud Prevention, Cybersecurity, Financial Technology - **Target Customers**: B2B – Enterprise businesses in highly regulated industries, including major banks, fintechs, telecoms, insurance companies, and marketplaces [investors.miteksystems.com](https://investors.miteksystems.com/) - **Mission**: “To protect what’s real” across digital interactions [miteksystems.com](https://www.miteksystems.com/about) ## Products & Services - **Mobile Deposit®**: The first app to allow consumers to deposit checks via smartphone, processing over 8.8 billion checks analyzed to date [miteksystems.com](https://www.miteksystems.com/about). - **Check Fraud Defender™**: An AI-driven fraud detection platform using consortium data to identify altered and fraudulent checks across channels [miteksystems.com](https://www.miteksystems.com/about). - **IDLive® Face**: A passive liveness detection and face biometric solution; achieved top marks in U.S. DHS testing [miteksystems.com](https://www.miteksystems.com/about). - **Mitek Verified Identity Platform (MiVIP)**: A unified identity orchestration platform for end-to-end KYC, identity verification, and fraud prevention [miteksystems.com](https://www.miteksystems.com/about). - **Identity Verification & Biometrics**: Document verification, selfie matching, voice biometrics, and deepfake/injection attack detection [miteksystems.com](https://www.miteksystems.com/about). ## Market Standing - **Valuation/Market Cap**: ~$401 million (as of data referenced) [linkedin.com](https://linkedin.com/company/miteksystems) - **Key Metric (Revenue)**: $179.7M annual revenue; FY2026 Q3 (ended June 30, 2026) revenue of $54,038,000 [linkedin.com](https://linkedin.com/company/miteksystems) - **Notable Customers/Partners**: 7,000+ organizations worldwide, including major banks and financial institutions [miteksystems.com](https://www.miteksystems.com/about) - **Growth Signals**: 4.4% YoY headcount growth (409 employees); awarded by Datos Insights for Check Fraud Defender; new COO Garrett Gafke appointed in 2025; positive net income of $8.4M in Q3 FY2026 [linkedin.com](https://linkedin.com/company/miteksystems) | [miteksystems.com](https://www.miteksystems.com/about) ## Competitive Advantages - **First-mover & History**: Pioneered mobile check deposit in 2008 and has over 40 years of innovation in image analytics and OCR for financial institutions [miteksystems.com](https://www.miteksystems.com/about). - **Enterprise Trust**: Trusted by over 7,000 businesses, heavily concentrated in high-stakes, regulated verticals where trust is critical [investors.miteksystems.com](https://investors.miteksystems.com/). - **Proprietary AI & Biometrics**: Strong IP in passive liveness detection, deepfake prevention, and consortium-based fraud detection (e.g., Check Fraud Defender) [miteksystems.com](https://www.miteksystems.com/about). - **Compliance**: SOC 2 and ISO 27001 certified, critical for enterprise adoption [miteksystems.com](https://www.miteksystems.com/about). ## Strategic Focus - **Deepfake & AI Fraud Defense**: Actively hiring for roles focused on deepfake and injection attack detection, indicating a strategic priority to stay ahead of evolving threats [jobs.lever.co](https://jobs.lever.co/miteksystems-2). - **Platform Consolidation**: Continuing to unify identity and fraud capabilities through the MiVIP platform, following acquisitions like HooYu and ID R&D [miteksystems.com](https://www.miteksystems.com/about). - **Expanding Across Verticals**: Leveraging technology from financial services into telecom, healthcare, and other regulated markets [investors.miteksystems.com](https://investors.miteksystems.com/). ## Why Work Here - **Culture**: A “Virtual 1st Company” offering flexibility in how and where work is done. Emphasis on trust, transparency, and global collaboration [miteksystems.com](https://www.miteksystems.com/careers). - **Perks**: Investment opportunities, professional training and certifications, open-door policy with leadership, and offices in global cities [miteksystems.com](https://www.miteksystems.com/careers). - **Hiring Process**: Focuses on skill demonstration over lengthy interviews; values substance over showmanship [miteksystems.com](https://www.miteksystems.com/careers). - **AI in Hiring**: AI tools are supported for applicants but never influence hiring decisions; transparency is encouraged [miteksystems.com](https://www.miteksystems.com/careers). - **Workforce**: Global team of ~409 people across 30 countries (US, Spain, UK, Netherlands, France, India, etc.). Rating of 3.7/5 on LinkedIn (137 reviews) with work-life balance scored at 3.9/5 [linkedin.com](https://linkedin.com/company/miteksystems). - **Engineering Culture**: Strong emphasis on innovation in AI, ML, and computer vision; hiring for senior roles in ML engineering, applied AI, and data engineering [jobs.lever.co](https://jobs.lever.co/miteksystems-2) | [linkedin.com](https://linkedin.com/company/miteksystems). ## Sources 1. [miteksystems.com](https://www.miteksystems.com/careers) - Careers page 2. [miteksystems.com](https://www.miteksystems.com/about) - About page 3. [investors.miteksystems.com](https://investors.miteksystems.com/) - Investor Relations page 4. [linkedin.com](https://linkedin.com/company/miteksystems) - LinkedIn company page 5. 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