Machine Learning 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
- Strong technical leadership in machine learning, computer vision, or applied data science
- Led teams building and operating production ML systems end-to-end, including model training, evaluation, deployment, and post-deployment monitoring
- Comfortable in high-growth environments and know how to scale both teams and ML systems without sacrificing quality
- Balance technical depth with people leadership, and can guide teams through ambiguity while setting clear direction
- 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 leadershipcollaborationmentoringsystems thinkingproblem-solvingcommunicationadaptabilityscientific rigorhigh-quality execution