Veriff

Engineering Manager, Face Intelligence

Veriff

full-time

Posted on:

Location Type: Remote

Location: Estonia

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About the role

  • Leading, growing, and developing a high-performing team of data scientists and ML engineers responsible for face biometrics and liveness detection models.
  • Defining the team's structure and evolution as it scales, introducing strong research-to-production practices, clear ownership, and measurable outcomes.
  • Owning the end-to-end delivery of biometric ML systems — from data strategy and model training to evaluation, deployment, monitoring, and iteration in production.
  • Driving the development of state-of-the-art face recognition, face liveness, and anti-spoofing models, with a strong focus on robustness, generalization, and fairness across geographies and demographics.
  • Partnering closely with Product, Authentication, Identity, and Fraud teams to translate verification, authentication, and fraud prevention problems into well-defined ML objectives, metrics, and roadmaps.
  • Working with ML Platform teams to ensure efficient training pipelines, scalable inference, strong observability, and continuous monitoring of model performance and drift.
  • Ensuring regulatory compliance, data privacy, and responsible AI practices are embedded into how models are designed, trained, and evaluated.
  • Building a team culture centered on scientific rigor, experimentation, collaboration, and high-quality execution.
  • Contributing to Veriff's long-term biometric strategy by anticipating and defending against emerging threats such as deepfakes, replay attacks, and generative AI–based fraud.
  • Mentoring senior data scientists and ML engineers, supporting their technical growth and leadership development.

Requirements

  • You bring strong technical leadership in machine learning, computer vision, or applied data science, and enjoy working close to complex real-world problems.
  • You’ve led teams building and operating production ML systems end-to-end, including model training, evaluation, deployment, and post-deployment monitoring.
  • You’re comfortable in high-growth environments and know how to scale both teams and ML systems without sacrificing quality.
  • You balance technical depth with people leadership, and can guide teams through ambiguity while setting clear direction.
  • You’re excited to work in a regulated domain and collaborate with legal and compliance partners to build privacy-first, responsible AI systems.
  • Hands-on experience in biometrics, computer vision, or face-related ML problems such as face recognition, liveness detection, or anti-spoofing.
  • Deep familiarity with modern ML frameworks and embedding-based architectures used in large-scale biometric systems.
  • Experience designing evaluation frameworks, datasets, and metrics for highly imbalanced, adversarial, or safety-critical ML problems.
  • Exposure to regulated industries (identity verification, fintech, security, healthcare) and a solid understanding of data protection and consent principles.
  • Strong systems thinking — you can design ML solutions that deliver short-term wins while building durable long-term differentiation.
Benefits
  • Flexibility to work from home
  • Stock options that ensure your share in our success
  • Extra recharge days on top of your annual vacation
  • Comprehensive relocation support to Estonia or Spain
  • Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
  • Learning and Development & Health and Sports budget that you are free to tailor to your own needs
  • Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningcomputer visionbiometricsface recognitionliveness detectionanti-spoofingmodel trainingmodel evaluationmodel deploymentevaluation frameworks
Soft Skills
technical leadershippeople leadershipcollaborationmentoringproblem-solvingcommunicationteam buildingadaptabilityscientific rigorexecution