About Daon
Daon is a global leader in digital identity fraud prevention and protection against AI-generated synthetic identities. For over 25 years, we have partnered with governments and leading enterprises to deliver secure, seamless identity experiences across financial services, telecommunications, healthcare, travel, and critical infrastructure.
Our TrustX platform enables organizations to orchestrate secure, scalable, cross-channel identity workflows — supporting identity verification, biometric authentication, and lifecycle management across complex environments. More than two billion identities worldwide have been safeguarded by Daon technology. Recognized as a leading provider by Gartner®, KuppingerCole, and Frost & Sullivan®, Daon is shaping the future of identity security.
Daon has been providing fraud‑prevention solutions to organisations across six continents for over two decades.
Come play a part in advancing the next generation of face liveness, matching, and anti‑fraud biometric technologies.
Location: Remote (Spain), with a preference for candidates based in Madrid or Barcelona
What You'll Do:
Apply machine learning, deep learning, and computer vision techniques to identity document analysis, authentication, and fraud detection:
- Design & implement document-based algorithms for use in digital onboarding & identity authentication solutions
- Create solutions to perform identity document authentication, detect tampered documents, & prevent document fraud
- Develop identity document processing algorithms using foundation models or traditional machine learning, image processing & computer vision depending on deployment constraints
- Prototype proof-of-concepts, then develop them into full production-ready solutions
- Collaborate with engineering, product, and support teams to deploy algorithms into production and manage long-term improvements
- Develop algorithm components for cloud, server, and mobile deployment environments
- Test, evaluate, and configure identity document processing and analysis solutions
- Apply your knowledge in document validation, document capture, computer vision, & image processing
Skills & Experience Desired:
- Passionate about applying machine learning and computer vision to real-world document and identity problems
- Experience developing and evaluating advanced machine learning and computer vision algorithms
- Strong traditional machine learning and computer vision background (experience applying these techniques to document processing is a bonus)
- Strong proficiency with modern deep learning frameworks and foundation models
- Experience in low-resourced domains, transfer learning or using unsupervised/lightly supervised learning techniques
- Strong Python skills for research and application development; C++ experience is a plus
- Working knowledge of image processing libraries & toolkits
- Competency in using AI-driven development tools to accelerate the computer vision R&D lifecycle.
- Commercial experience with document capture & validation is a plus
- Experience in data curation, annotation, and synthetic training data generation
- A quick learner with strong mathematical aptitude
- Strong collaboration skills and the ability to work effectively within an existing international team are essential
What You Have:
- Bachelor’s degree or higher in Computer Science, Engineering, a mathematics-related field, or equivalent
- Strong analytical and problem-solving skills.
- Ability to work independently and as a member of a team
- Excellent attention to detail
- Excellent written and spoken English
What We Offer:
- An opportunity to work on advanced biometric identity, document analysis, and fraud detection technologies
- Competitive compensation & benefits
- Flexible working environment that supports a healthy work-life balance
We believe the best teams are built from varied experiences and backgrounds. If you're passionate about the work and your experience isn't an exact match, apply anyway, we care more about how you think and what you bring than whether you check every box.
Daon is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. We celebrate diversity and are dedicated to creating an environment where all employees feel valued, respected, and supported.
