Staff/Principal Research Engineer

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

This opportunity would be with Tools for Humanity.

About the AI & Biometrics Team :

The AI & Biometrics team is building a biometric recognition system that can work reliably with more than a billion users and enables them to claim their free share of WLD. We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction.

We are building a biometric recognition and fraud detection engine that works on the 1bn people scale. Therefore, its performance needs to out-perform all the current recognition technologies. We leverage our powerful custom-made iris recognition and presentation attack detection device, the Orb, combined with the latest research from the field of AI and Deep Learning.

About the Opportunity :

As World’s user base continues to expand, ensuring the accuracy and reliability of our systems is critical. We are looking for a Staff or Principal Research Engineer to join our AI & Biometrics team. In this key role, you will develop, deploy, and enhance models for Biometric Recognition and Presentation Attack Detection. These models will power our custom hardware—the Orb—and mobile platforms like the World App.

Key Responsibilities :

• Lead the development of advanced deep learning models and classical algorithms optimized for deployment on custom hardware and mobile platforms.
• Build and maintain scalable, efficient deep learning model training pipelines.
• Oversee the entire model lifecycle, from directing internal data collection efforts to building, deploying, monitoring, and refining models.

About You :

Nice to Have :

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