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Director of AI & Biometrics

Tools for HumanityMunichProduct
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Salary
Not listed
Job type
Full-time
Posted
6 Mar 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Director of AI & Biometrics position at Tools for Humanity in Munich is a full-time leadership role overseeing the core biometric recognition technology for the World project. This opportunity suits an experienced machine learning and computer vision leader who can guide research, manage technical execution, and scale a growing team working on global-scale identity verification.

Key Responsibilities

Own the product vision, strategic roadmap, and execution for the biometric recognition stack, focusing on iris and face recognition alongside related fraud defenses.
Manage the complete machine learning system lifecycle, covering data acquisition, dataset governance, model training, evaluation, mobile and custom hardware deployment, and production monitoring.
Define and track performance goals that optimize biometric accuracy, user experience, and resistance to fraud through rigorous benchmarks and feedback loops.
Establish high engineering and scientific standards, driving robust MLOps discipline, reproducible experimentation, code quality, and clear documentation.
Collaborate closely with hardware, product, and security divisions to ensure seamless integration among sensing devices, on-device inference, and backend infrastructure.
Attract, mentor, and coach a diverse group of experts, establishing clear career paths and fostering a collaborative, high-ownership team culture.
Guide organizational growth and recruitment plans to scale the biometric team from its current size toward future capacity.
Act as the primary internal point of contact for company leadership, communicating technical progress, strategic risks, and architectural trade-offs.

Requirements

Strong academic or professional background in computer vision, machine learning, robotics, signal processing, or a closely related technical field.
Demonstrated expertise working with modern and traditional computer vision and machine learning methods across the entire lifecycle from data to monitoring.
Proven track record of delivering production-grade machine learning systems into performance-constrained environments or mobile devices.
Significant experience leading and scaling applied research or engineering teams within complex, fast-paced environments.
Demonstrated ability to lead cross-functional initiatives bridging research, product development, engineering, and global operations.
Strong people management skills encompassing hiring, mentorship, performance management, and organizational scaling.
Flexibility to operate across strategic architecture, metrics, and hands-on technical problem-solving.
Excellent communication abilities to align stakeholders and articulate complex technical decisions clearly.

Nice to Have

Specialized domain expertise in face recognition or iris recognition, including understanding real-world failure modes and evaluation methodologies.
Practical experience with presentation attack detection, adversarial robustness, and broader biometric fraud prevention.
Familiarity with privacy-enhancing technologies and privacy-by-design methodologies for biometric frameworks, such as trusted execution environments, on-device processing, and cryptographic verification.
Background operating machine learning infrastructure at massive scale under strict compliance guidelines.

Skills and Tools

Computer Vision
MLOps
Machine Learning Lifecycle Management
Mobile and Custom Hardware Deployment
Biometric Recognition Systems

About the Company

Tools for Humanity designs and builds the underlying technology for World, a real human network created to help people navigate the age of AI. The technology stack features the Orb for verification, World ID for private proof of humanity, and World App for wallet capabilities. Founded in 2019, the organization brings together hundreds of team members across hardware, software, AI, cryptography, and mobile engineering with backgrounds from leading technology institutions. The company is backed by prominent investors and has been featured across major global technology and business publications.

How to Apply

Interested candidates should apply directly on the official company careers page to submit their application for this Munich-based position.

Skills and tech stack

Computer VisionMLOps

Questions candidates ask

Where is this job located?

This full-time role is located in Munich, Germany, and is onsite 5 days a week.

What department does this role belong to?

This position sits within the Product department on the AI & Biometrics team.

What core technologies are involved in this role?

The team focuses on iris and face recognition, computer vision, MLOps, custom hardware deployment, and privacy-preserving verification systems.

What is the expected team size and growth plan?

The team currently consists of approximately 20 people, with plans to roughly double in size by the end of the year.

How do I apply for the Director of AI & Biometrics position?

You can apply directly through the official Tools for Humanity company careers page.

Ready to apply?

The application is on the official Tools for Humanity careers page.

Apply on company site