Mobile Engineer

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:

• 2-6 years of experience in both Android and iOS ideally. (We are hiring for several levels for this position)
• 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.