Machine Learning Engineering Manager (Face Intelligence) at Veriff

Veriff

Tallinn, Spain (Remote)·1w ago

ManagerFull-timeRustMachine LearningData ScienceGoAIML

Salary Range

$78,336 - $105,984 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for an experienced Engineering Manager to lead Veriff's Face Intelligence team, focusing on Data Science and Machine Learning. This role involves building state-of-the-art ML models for Identity Verification at global scale, with a focus on Face Biometrics, Liveness Detection, and resilience against threats like deepfakes.

Key Responsibilities

→Lead, grow, and develop a high-performing team of data scientists and ML engineers responsible for face biometrics and liveness detection models.
→Define the team's structure and evolution as it scales, introducing strong research-to-production practices.
→Own the end-to-end delivery of biometric ML systems, from data strategy to deployment and iteration in production.
→Drive the development of state-of-the-art face recognition, face liveness, and anti-spoofing models.
→Partner with Product, Authentication, Identity, and Fraud teams to translate verification problems into ML objectives.
→Work with ML Platform teams to ensure efficient training pipelines and continuous monitoring.
→Ensure regulatory compliance, data privacy, and responsible AI practices are embedded in model design.
→Build a team culture centered on scientific rigor, experimentation, and high-quality execution.
→Contribute to Veriff's long-term biometric strategy by anticipating emerging threats.
→Mentor senior data scientists and ML engineers.

Requirements

✓Strong technical leadership in machine learning, computer vision, or applied data science.
✓Experience leading teams building and operating production ML systems end-to-end.
✓Comfort in high-growth environments and scaling both teams and ML systems.
✓Ability to balance technical depth with people leadership.
✓Excitement to work in a regulated domain and build privacy-first, responsible AI systems.