research
Posted 2 weeks agoStaff Applied Research Engineer, Biometrics
at Veriff
SpainRemote
Requirements
- The Biometric Solutions team at Veriff develops the biometric and liveness technologies that sit at the critical entry point of our automated identity verification funnel.
- Optimizing for SaaS Scale: Writing high-performance, maintainable Python code to ensure complex CV models remain cost-efficient and latency-optimized.
- experience in Applied Research or Data Science, with a proven track record of moving complex Computer Vision models from paper to production.
- Deep Mastery of CV Frameworks: Expert-level PyTorch or TensorFlow skills, specifically in implementing custom layers, loss functions, and domain-adversarial training loops.
- A "Physics-First" Intuition: Strong background in classical image processing (OpenCV) and 3D geometry; you understand why a 2D surface looks different than a 3D face to a sensor.
- Strong Engineering Foundations: Proficient in Python, Bash, and SQL. You are comfortable building your own data pipelines and debugging containerized services.
Experience
- You are the right future Veriffian for the job if you have: 5+ years of
Benefits
- Your role will bridge the gap between theoretical computer vision research and production code that protects millions of users.
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- 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
Additional details
- Having established a robust baseline using existing SOTA architectures, we are now entering the next stage of our roadmap - institutionalizing a high-velocity "Fast-Follower" engine.
- This phase is focused on radicalizing our adaptation speed—moving from academic breakthroughs to production-grade, proprietary models in weeks, not months.
- Architecting the Research Pipeline: Building the infrastructure to reproduce and adapt SOTA papers within 4–6 week cycles, ensuring our models outpace the global fraud landscape.
- Engineering Physics-Based Defenses: Developing "attack-agnostic" features—leveraging optical flow, specular reflection, and 3D geometry—to exploit immutable physical laws that attackers cannot easily circumvent.
- Solving for Domain Heterogeneity: Implementing advanced Domain Adaptation and Generalization techniques to eliminate performance variance across device types (iOS vs. Android), demographics, and environmental conditions.
- Strategic Prototyping: Working from first principles to decide when a novel architecture is required versus when the solution lies in superior data curation or procedural attack generation.
- Business & Production Acumen: You treat inference latency and compute cost as first-class constraints. You prefer an elegant, efficient solution over a "brute-force" ensemble.
- A skeptical, questioning approach: You don't take "SOTA" claims at face value.
- You investigate failure modes, hunt for bias, and demand empirical evidence before committing to a new direction.
- 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.