Senior Engineering Manager - Face Intelligence

Veriff Estonia
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AI Summary

Lead a high-performing team of data scientists and ML engineers building Computer Vision and Machine Learning systems for Facial Biometrics. Develop state-of-the-art face recognition, face liveness, and anti-spoofing models. Ensure regulatory compliance, data privacy, and responsible AI practices.

Key Highlights
Lead a high-performing team of data scientists and ML engineers
Develop state-of-the-art face recognition, face liveness, and anti-spoofing models
Ensure regulatory compliance, data privacy, and responsible AI practices
Key Responsibilities
Lead, grow, and develop a high-performing team of data scientists and ML engineers
Define the team's structure and evolution as it scales
Own the end-to-end delivery of biometric ML systems
Drive the development of state-of-the-art face recognition, face liveness, and anti-spoofing models
Partner with Product, Authentication, Identity, and Fraud teams
Technical Skills Required
Machine Learning Computer Vision Data Science Face Recognition Face Liveness Detection Anti-Spoofing Models Modern ML Frameworks Embedding-Based Architectures
Benefits & Perks
Flexibility to work from home
Stock options
Extra recharge days
Comprehensive relocation support
Extensive medical, dental, and vision insurance
Learning and Development & Health and Sports budget
Four weeks of fully paid sabbatical leave
Nice to Have
Hands-on experience in biometrics, computer vision, or face-related ML problems
Deep familiarity with modern ML frameworks and embedding-based architectures
Experience designing evaluation frameworks, datasets, and metrics for highly imbalanced, adversarial, or safety-critical ML problems

Job Description


At Veriff, we’re building the foundational trust layer of the internet — and Face Intelligence sits at the core of that mission. This role is about building state-of-the-art Machine Learning models that power Identity Verification at global scale, with a sharp focus on Face Biometrics, Liveness Detection, and resilience against rapidly evolving threats like deepfakes and synthetic identities.

We’re looking for an experienced Engineering Manager to lead our Face Intelligence team with a strong focus on Data Science and Machine Learning. This team owns the end-to-end lifecycle of biometric models — from research and training, to evaluation, deployment, and continuous improvement in production. The work directly impacts authentication accuracy, fraud prevention, and user trust across millions of verifications worldwide.

You’ll lead a high-performing team of data scientists and ML engineers building Computer Vision and Machine Learning systems for Facial Biometrics. Working closely with Product, ML Platform, Fraud Prevention, and Legal, you’ll ensure our models deliver high accuracy, scale reliably, respect privacy, and remain resilient as threats evolve.

Join us if you’re excited about pushing the boundaries of applied machine learning, building production-grade biometric systems, and turning cutting-edge research into real-world impact.

You’ll Help Us Protect Honest People Online By

  • 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.


You are the right future Veriffian for the job if:

  • 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.


You’re An Especially Awesome Match If You Have

  • 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.


Why Veriff?

We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force.

When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include...

  • 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


We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you!

Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy. #TBT


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