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.