Staff Applied Research Engineer, Biometrics

You’ll help us enable Biometric innovation by:

• 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.
• Optimizing for SaaS Scale: Writing high-performance, maintainable Python code to ensure complex CV models remain cost-efficient and latency-optimized.
• 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.

You are the right future Veriffian for the job if you have:

• 5+ years of 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.
• 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.
• Strong Engineering Foundations: Proficient in Python, Bash, and SQL. You are comfortable building your own data pipelines and debugging containerized services.
• 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. 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.