Director of AI & Biometrics
Tools for Humanity is a technology company building products for humans in the age of AI.
Maintainer signals as of 9/25/2026
About Tools for Humanity
Tools for Humanity develops hardware, software, and services connected to World, described as an open-source real-human network. Its products include the Orb for privacy-focused proof-of-human verification, World App for World ID access, digital asset management, wallet functionality, transactions, and Mini Apps, and World Spaces for verification, community programming, and events. The company serves end users and organizations seeking to integrate World infrastructure into their projects.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead the team responsible for World’s biometric recognition technology, including iris and face recognition and fraud defenses. Set technical direction across data collection, dataset governance, model training, evaluation, deployment, production monitoring, and iteration while building a high-performing biometrics organization.
Requirements
- Science or engineering background in computer vision, machine learning, robotics, signal processing, or a related field.
- Experience with modern and traditional computer vision and machine learning.
- Understanding of the full machine learning lifecycle.
- Experience delivering production-grade ML systems.
- Experience deploying systems on mobile devices or performance-constrained environments.
- Significant experience leading engineering or applied research teams.
- Cross-functional leadership experience.
- Experience with management, mentoring, hiring, performance management, and team scaling.
- Experience with iris recognition or face recognition is valued.
- Experience with presentation attack detection and biometric fraud prevention is valued.
- Familiarity with privacy-enhancing technologies is valued.
- Experience operating ML systems at very large scale is valued.
Responsibilities
- Own the vision, roadmap, and execution for the biometric recognition stack.
- Lead data acquisition, dataset governance, training, evaluation, deployment, monitoring, and iteration.
- Define performance goals for accuracy, user experience, and fraud resistance.
- Establish experimentation, engineering quality, testing, review, MLOps, and documentation standards.
- Partner with hardware, product, and security teams on technical strategy.
- Attract, develop, and coach a diverse team.
- Lead hiring, team design, and organizational scaling.
- Represent biometrics leadership and communicate trade-offs, risks, and progress.