Mobile Engineer

About the Company :

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 will be with Tools for Humanity.

About the AI & Biometrics Team :

The AI & Biometrics team is building a biometric iris recognition system that can work reliably with more than a billion users to assess humanness online. This is the key to ensure account uniqueness and authenticity for Worldcoin and its downstream applications like the WLD token distribution, online governance, etc. 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 an iris recognition and fraud detection engine that works on the 1bn people scale. Therefore, its performance needs to out-perform all the current iris 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

We are seeking a Mobile Development Engineer to join our AI & Biometrics Team for the exploration and development of technologies pushing the boundaries of mobile-based face authentication. You'll bridge the gap between our ML research initiatives and mobile hardware capabilities, prototyping solutions that help ensure image acquisition processes that are high-quality and secure. This role will integrate you into the complete ML lifecycle from exploratory phases, data collection tooling, to integration and deployment of solutions.

In this role you will :

Prototype and develop proof-of-concept applications on mobile platforms to help build and validate Computer Vision research workstreams

Implement presentation attack detection (PAD) concepts by manipulating mobile hardware features (cameras, displays, sensors & actuators)

Interface with our in-house computer vision models and libraries through FFI integration

Collaborate closely with ML Engineers to translate research requirements into working prototypes

Build internal demonstration applications for various fraud detection concepts and tools for data collection and validation

About You :

At least 2 years of experience in both Android and / or iOS

Technical curiosity : Willingness to dive deep into unknown APIs, research papers, and new technologies

Collaborative spirit : Strong communication skills to work effectively with ML engineers

Strong programming experience in Android (Kotlin)

Experience working with native mobile APIs and system-level features

Experience with camera APIs and mobile sensor integration

Solid understanding of mobile development best practices and architecture patterns

Excellent problem-solving skills and attention to detail

Technologies Experience

Android :

Basics : Kotlin, Android Studio, Git, GitHub, Gradle

Libraries : CameraX, Camera2 API, Android Sensor APIs, Jetpack Compose

Nice-to-haves :

FFI : JNI Libs, C / C++ lib integrations

Image processing, such as : OpenCV, Morphological operations, ISP (image-signal-processor)

ML : TensorflowLite, PyTorch Mobile, ExecuTorch, Vulkan

Previous iOS work : Swift, AVFoundation, SwiftUI, CoreML, Metal

For iOS :

Basics : Swift, XCode, Git, GitHub

Libraries : AVFoundation, CoreImage, CoreMotion, SwiftUI

Nice-to-haves :

FFI : Swift / Objective-C bridging, C / C++ integrations

Image processing, such as : OpenCV, Morphological operations, ISP (image-signal-processor)

ML : TensorflowLite, PyTorch Mobile, ExecuTorch, Metal

Previous Android work : Kotlin, CameraX / Camera2, Jetpack Compose, Vulkan

What we offer :

An open and collaborative office space

Unlimited PTO

Monthly Phone Reimbursement or a company device

Daily in-office meals

Top-tier medical, dental, vision insurance

Retirement or pension program

The reasonably estimated salary for this role at TFH in Munich ranges from €77,000 - €115,000 , plus a competitive long term incentive package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience.

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