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Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

Veriff

Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Engineering Manager (Face Intelligence) at Veriff

Role Overview

Veriff is at the forefront of digital trust, building the foundational infrastructure that powers secure online identity verification worldwide. Our Face Intelligence team develops cutting-edge Machine Learning models that detect fraud, verify identities, and protect honest people from sophisticated threats like deepfakes and synthetic identities. As Engineering Manager (Face Intelligence), you'll lead this critical team in Tallinn, Madrid, or remotely across Europe.

This senior leadership role combines deep technical expertise in computer vision, facial biometrics, and ML operations with proven people management skills. You'll oversee the end-to-end lifecycle of biometric models—from groundbreaking research to production deployment at global scale. Your work directly impacts millions of daily verifications, driving authentication accuracy above 99% while maintaining privacy and regulatory compliance.

Face Intelligence at Veriff isn't just about technology; it's about mission-critical impact. Our models power everything from KYC compliance for fintechs to secure authentication for gaming platforms. Join us to push the boundaries of what's possible in biometric security and shape the future of online trust.

Key Responsibilities

As Engineering Manager, you'll wear multiple hats: technical visionary, team builder, and strategic partner. Here's what success looks like in the first 12 months:

  • Team Leadership: Recruit, develop, and retain top talent in data science and ML engineering. Build a 10-15 person team with clear ownership and career progression paths.
  • Technical Strategy: Define the roadmap for face biometrics, liveness detection, and anti-spoofing capabilities. Prioritize initiatives that deliver measurable fraud reduction.
  • End-to-End Ownership: Manage the complete ML lifecycle including data pipelines, model training, A/B testing, deployment, and production monitoring.
  • Cross-Functional Collaboration: Partner with Product Managers to translate business requirements into ML metrics. Work with Fraud teams to stay ahead of evolving attack vectors.
  • Infrastructure Excellence: Collaborate with ML Platform teams to build scalable training infrastructure and low-latency inference systems handling millions of daily predictions.
  • Risk Management: Ensure models meet strict regulatory standards (GDPR, eIDAS) while maintaining state-of-the-art accuracy across diverse demographics.
  • Innovation Leadership: Drive research into emerging threats like generative AI fraud and presentation attacks. Prototype novel defenses before they hit production.
  • Performance Culture: Establish OKRs, experimentation frameworks, and post-mortems that drive continuous improvement and scientific rigor.

Expect to spend 40% of your time on people management, 40% on technical strategy/execution, and 20% on cross-functional partnership.

Qualifications & Requirements

We're looking for a rare combination of hands-on ML expertise and leadership maturity. You should bring:

  • 8+ years in machine learning with 3+ years managing DS/ML teams
  • Deep expertise in facial recognition, liveness detection, or anti-spoofing systems
  • Experience shipping production ML models at scale (millions of inferences/day)
  • Strong computer vision background (CNNs, transformers, 3D face modeling)
  • Proven ability to handle adversarial ML threats and model robustness
  • Experience with ML infrastructure (Kubeflow, SageMaker, or equivalent)
  • Familiarity with biometric regulations and privacy frameworks
  • Technical proficiency in Python, PyTorch/TensorFlow, and cloud platforms
  • Track record mentoring senior individual contributors into staff/principal roles
  • Excellent communication for both technical and executive audiences

Bonus points for: Publications in CVPR/ICCV, experience with deepfake detection, or leading biometric teams in fintech/security.

Salary & Benefits

Competitive Compensation: €120,000-€180,000 base (approx. $140K-$200K USD) depending on experience, plus performance bonus and equity.

  • Fully remote work across Europe with optional Tallinn/Madrid hubs
  • 30+ days PTO + unlimited sick leave
  • Comprehensive health insurance (including mental health)
  • €2,000 annual learning budget + conference attendance
  • Home office setup stipend (€1,000 one-time)
  • Generous parental leave (20 weeks fully paid)
  • Company equity vesting over 4 years
  • Visa sponsorship and relocation support
  • Quarterly team offsites and global hackathons

Why Join Veriff?

Veriff isn't just another identity company—we're building the trust layer of the internet. Here's why top ML talent chooses us:

  • Mission Impact: Your models protect millions from fraud daily. Real-world problems with massive scale.
  • Cutting-Edge Challenges: Battle deepfakes, synthetic identities, and evolving fraud at the bleeding edge of ML research.
  • Technical Excellence: Latest research becomes production reality. We publish, patent, and productize.
  • Global Reach: Serve 10,000+ customers across 200+ countries with 99.9%+ uptime.
  • Fast Growth: 300% YoY revenue growth. Your leadership shapes our biometric future.
  • European HQ: Tallinn's tech ecosystem + remote flexibility. No FAANG bureaucracy.
'Veriff gave me the autonomy to build biometric systems from research to production while leading an amazing team of researchers.' — Current Face Intelligence Lead

How to Apply

Ready to lead the fight against digital fraud? Send your CV and a brief note on your most impactful ML leadership experience to careers@veriff.com with subject: "Face Intelligence EM - [Your Name]".

We're moving fast—top candidates hear back within 48 hours. Let's build the future of trust together.

Veriff Values: Impact, Integrity, Innovation. We hire for these first.

Locations

  • Tallinn, Estonia
  • Madrid, Spain
  • Remote, Worldwide (Remote)

Salary

Estimated Salary Rangehigh confidence

147,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Leadershipintermediate
  • Computer Visionintermediate
  • Facial Recognitionintermediate
  • Liveness Detectionintermediate
  • Deep Learning Modelsintermediate
  • Anti-Spoofing Techniquesintermediate
  • Data Science Managementintermediate
  • ML Model Deploymentintermediate
  • Model Training Pipelinesintermediate
  • Fraud Detection Systemsintermediate
  • Biometric Authenticationintermediate
  • Python Programmingintermediate
  • TensorFlow/PyTorchintermediate
  • Scalable Inferenceintermediate
  • Model Monitoringintermediate
  • Regulatory Complianceintermediate
  • Responsible AIintermediate
  • Team Leadershipintermediate
  • Technical Mentoringintermediate
  • Deepfake Detectionintermediate

Required Qualifications

  • Strong technical leadership in machine learning, computer vision, and biometric systems with 8+ years of experience (experience)
  • Proven track record managing high-performing data science and ML engineering teams (experience)
  • Deep expertise in facial biometrics, liveness detection, and anti-spoofing model development (experience)
  • Experience owning end-to-end ML lifecycle from research to production deployment (experience)
  • Hands-on experience with state-of-the-art face recognition models and robustness testing (experience)
  • Strong understanding of emerging threats like deepfakes, replay attacks, and generative AI fraud (experience)
  • Demonstrated ability to define team structure, hiring strategies, and scalable processes (experience)
  • Experience partnering with product, fraud, and platform teams to deliver business impact (experience)
  • Knowledge of data privacy regulations (GDPR, CCPA) and responsible AI practices (experience)
  • Expertise in ML infrastructure including training pipelines, inference optimization, and monitoring (experience)
  • Technical proficiency in Python, TensorFlow/PyTorch, and cloud ML platforms (experience)
  • Excellent communication skills for mentoring senior engineers and stakeholder alignment (experience)

Responsibilities

  • Lead, grow, and develop a team of data scientists and ML engineers focused on face biometrics
  • Define team structure and evolution with strong research-to-production practices
  • Own end-to-end delivery of biometric ML systems from data strategy to production iteration
  • Drive development of state-of-the-art face recognition, liveness, and anti-spoofing models
  • Ensure model robustness, generalization, and fairness across global demographics
  • Partner with Product, Authentication, and Fraud teams to define ML objectives and roadmaps
  • Collaborate with ML Platform teams on efficient training, scalable inference, and monitoring
  • Embed regulatory compliance, data privacy, and responsible AI into model development
  • Build team culture emphasizing scientific rigor, experimentation, and execution
  • Anticipate and defend against emerging threats like deepfakes and synthetic identities
  • Mentor senior data scientists and ML engineers in technical growth and leadership
  • Establish metrics for model performance, drift detection, and continuous improvement
  • Contribute to Veriff's long-term biometric strategy and threat intelligence

Benefits

  • general: Competitive salary with performance bonuses and equity options
  • general: Fully remote work flexibility across Europe
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off (30+ days annually)
  • general: Professional development budget for conferences and courses
  • general: Home office stipend and equipment allowance
  • general: Parental leave policies (up to 6 months)
  • general: Mental health and wellness programs
  • general: Team-building events and company retreats
  • general: Stock options in a fast-growing identity verification leader
  • general: Flexible working hours and async communication
  • general: Visa sponsorship and relocation assistance for top talent
  • general: Cutting-edge tech stack and ML research opportunities
  • general: Impactful work protecting millions of online users

Target Your Resume for "Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!" , Veriff

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Tags & Categories

engineering manager face intelligenceml engineering manager verifffacial biometrics engineering jobsliveness detection machine learningdeepfake detection careerscomputer vision team leadremote ml manager europebiometric ml engineer tallinnidentity verification engineeringanti-spoofing model leadershipdata science manager remoteface recognition ml jobsfraud prevention ml careersproduction ml systems managerresponsible ai engineering leadkyc ml engineering managereuropean ml leadership rolesveriff engineering careersbiometrics research engineermlops manager identity verificationsynthetic identity detection jobsEngineering

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Veriff logo

Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

Veriff

Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Engineering Manager (Face Intelligence) at Veriff

Role Overview

Veriff is at the forefront of digital trust, building the foundational infrastructure that powers secure online identity verification worldwide. Our Face Intelligence team develops cutting-edge Machine Learning models that detect fraud, verify identities, and protect honest people from sophisticated threats like deepfakes and synthetic identities. As Engineering Manager (Face Intelligence), you'll lead this critical team in Tallinn, Madrid, or remotely across Europe.

This senior leadership role combines deep technical expertise in computer vision, facial biometrics, and ML operations with proven people management skills. You'll oversee the end-to-end lifecycle of biometric models—from groundbreaking research to production deployment at global scale. Your work directly impacts millions of daily verifications, driving authentication accuracy above 99% while maintaining privacy and regulatory compliance.

Face Intelligence at Veriff isn't just about technology; it's about mission-critical impact. Our models power everything from KYC compliance for fintechs to secure authentication for gaming platforms. Join us to push the boundaries of what's possible in biometric security and shape the future of online trust.

Key Responsibilities

As Engineering Manager, you'll wear multiple hats: technical visionary, team builder, and strategic partner. Here's what success looks like in the first 12 months:

  • Team Leadership: Recruit, develop, and retain top talent in data science and ML engineering. Build a 10-15 person team with clear ownership and career progression paths.
  • Technical Strategy: Define the roadmap for face biometrics, liveness detection, and anti-spoofing capabilities. Prioritize initiatives that deliver measurable fraud reduction.
  • End-to-End Ownership: Manage the complete ML lifecycle including data pipelines, model training, A/B testing, deployment, and production monitoring.
  • Cross-Functional Collaboration: Partner with Product Managers to translate business requirements into ML metrics. Work with Fraud teams to stay ahead of evolving attack vectors.
  • Infrastructure Excellence: Collaborate with ML Platform teams to build scalable training infrastructure and low-latency inference systems handling millions of daily predictions.
  • Risk Management: Ensure models meet strict regulatory standards (GDPR, eIDAS) while maintaining state-of-the-art accuracy across diverse demographics.
  • Innovation Leadership: Drive research into emerging threats like generative AI fraud and presentation attacks. Prototype novel defenses before they hit production.
  • Performance Culture: Establish OKRs, experimentation frameworks, and post-mortems that drive continuous improvement and scientific rigor.

Expect to spend 40% of your time on people management, 40% on technical strategy/execution, and 20% on cross-functional partnership.

Qualifications & Requirements

We're looking for a rare combination of hands-on ML expertise and leadership maturity. You should bring:

  • 8+ years in machine learning with 3+ years managing DS/ML teams
  • Deep expertise in facial recognition, liveness detection, or anti-spoofing systems
  • Experience shipping production ML models at scale (millions of inferences/day)
  • Strong computer vision background (CNNs, transformers, 3D face modeling)
  • Proven ability to handle adversarial ML threats and model robustness
  • Experience with ML infrastructure (Kubeflow, SageMaker, or equivalent)
  • Familiarity with biometric regulations and privacy frameworks
  • Technical proficiency in Python, PyTorch/TensorFlow, and cloud platforms
  • Track record mentoring senior individual contributors into staff/principal roles
  • Excellent communication for both technical and executive audiences

Bonus points for: Publications in CVPR/ICCV, experience with deepfake detection, or leading biometric teams in fintech/security.

Salary & Benefits

Competitive Compensation: €120,000-€180,000 base (approx. $140K-$200K USD) depending on experience, plus performance bonus and equity.

  • Fully remote work across Europe with optional Tallinn/Madrid hubs
  • 30+ days PTO + unlimited sick leave
  • Comprehensive health insurance (including mental health)
  • €2,000 annual learning budget + conference attendance
  • Home office setup stipend (€1,000 one-time)
  • Generous parental leave (20 weeks fully paid)
  • Company equity vesting over 4 years
  • Visa sponsorship and relocation support
  • Quarterly team offsites and global hackathons

Why Join Veriff?

Veriff isn't just another identity company—we're building the trust layer of the internet. Here's why top ML talent chooses us:

  • Mission Impact: Your models protect millions from fraud daily. Real-world problems with massive scale.
  • Cutting-Edge Challenges: Battle deepfakes, synthetic identities, and evolving fraud at the bleeding edge of ML research.
  • Technical Excellence: Latest research becomes production reality. We publish, patent, and productize.
  • Global Reach: Serve 10,000+ customers across 200+ countries with 99.9%+ uptime.
  • Fast Growth: 300% YoY revenue growth. Your leadership shapes our biometric future.
  • European HQ: Tallinn's tech ecosystem + remote flexibility. No FAANG bureaucracy.
'Veriff gave me the autonomy to build biometric systems from research to production while leading an amazing team of researchers.' — Current Face Intelligence Lead

How to Apply

Ready to lead the fight against digital fraud? Send your CV and a brief note on your most impactful ML leadership experience to careers@veriff.com with subject: "Face Intelligence EM - [Your Name]".

We're moving fast—top candidates hear back within 48 hours. Let's build the future of trust together.

Veriff Values: Impact, Integrity, Innovation. We hire for these first.

Locations

  • Tallinn, Estonia
  • Madrid, Spain
  • Remote, Worldwide (Remote)

Salary

Estimated Salary Rangehigh confidence

147,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Leadershipintermediate
  • Computer Visionintermediate
  • Facial Recognitionintermediate
  • Liveness Detectionintermediate
  • Deep Learning Modelsintermediate
  • Anti-Spoofing Techniquesintermediate
  • Data Science Managementintermediate
  • ML Model Deploymentintermediate
  • Model Training Pipelinesintermediate
  • Fraud Detection Systemsintermediate
  • Biometric Authenticationintermediate
  • Python Programmingintermediate
  • TensorFlow/PyTorchintermediate
  • Scalable Inferenceintermediate
  • Model Monitoringintermediate
  • Regulatory Complianceintermediate
  • Responsible AIintermediate
  • Team Leadershipintermediate
  • Technical Mentoringintermediate
  • Deepfake Detectionintermediate

Required Qualifications

  • Strong technical leadership in machine learning, computer vision, and biometric systems with 8+ years of experience (experience)
  • Proven track record managing high-performing data science and ML engineering teams (experience)
  • Deep expertise in facial biometrics, liveness detection, and anti-spoofing model development (experience)
  • Experience owning end-to-end ML lifecycle from research to production deployment (experience)
  • Hands-on experience with state-of-the-art face recognition models and robustness testing (experience)
  • Strong understanding of emerging threats like deepfakes, replay attacks, and generative AI fraud (experience)
  • Demonstrated ability to define team structure, hiring strategies, and scalable processes (experience)
  • Experience partnering with product, fraud, and platform teams to deliver business impact (experience)
  • Knowledge of data privacy regulations (GDPR, CCPA) and responsible AI practices (experience)
  • Expertise in ML infrastructure including training pipelines, inference optimization, and monitoring (experience)
  • Technical proficiency in Python, TensorFlow/PyTorch, and cloud ML platforms (experience)
  • Excellent communication skills for mentoring senior engineers and stakeholder alignment (experience)

Responsibilities

  • Lead, grow, and develop a team of data scientists and ML engineers focused on face biometrics
  • Define team structure and evolution with strong research-to-production practices
  • Own end-to-end delivery of biometric ML systems from data strategy to production iteration
  • Drive development of state-of-the-art face recognition, liveness, and anti-spoofing models
  • Ensure model robustness, generalization, and fairness across global demographics
  • Partner with Product, Authentication, and Fraud teams to define ML objectives and roadmaps
  • Collaborate with ML Platform teams on efficient training, scalable inference, and monitoring
  • Embed regulatory compliance, data privacy, and responsible AI into model development
  • Build team culture emphasizing scientific rigor, experimentation, and execution
  • Anticipate and defend against emerging threats like deepfakes and synthetic identities
  • Mentor senior data scientists and ML engineers in technical growth and leadership
  • Establish metrics for model performance, drift detection, and continuous improvement
  • Contribute to Veriff's long-term biometric strategy and threat intelligence

Benefits

  • general: Competitive salary with performance bonuses and equity options
  • general: Fully remote work flexibility across Europe
  • general: Comprehensive health insurance coverage
  • general: Generous paid time off (30+ days annually)
  • general: Professional development budget for conferences and courses
  • general: Home office stipend and equipment allowance
  • general: Parental leave policies (up to 6 months)
  • general: Mental health and wellness programs
  • general: Team-building events and company retreats
  • general: Stock options in a fast-growing identity verification leader
  • general: Flexible working hours and async communication
  • general: Visa sponsorship and relocation assistance for top talent
  • general: Cutting-edge tech stack and ML research opportunities
  • general: Impactful work protecting millions of online users

Target Your Resume for "Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!" , Veriff

Get personalized recommendations to optimize your resume specifically for Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now!" , Veriff

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

engineering manager face intelligenceml engineering manager verifffacial biometrics engineering jobsliveness detection machine learningdeepfake detection careerscomputer vision team leadremote ml manager europebiometric ml engineer tallinnidentity verification engineeringanti-spoofing model leadershipdata science manager remoteface recognition ml jobsfraud prevention ml careersproduction ml systems managerresponsible ai engineering leadkyc ml engineering managereuropean ml leadership rolesveriff engineering careersbiometrics research engineermlops manager identity verificationsynthetic identity detection jobsEngineering

Answer 10 quick questions to check your fit for Engineering Manager (Face Intelligence) Careers at Veriff - Tallinn, Estonia & Madrid, Spain (Remote) | Apply Now! @ Veriff.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.