Mobile Engineer
Tools for Humanity is a technology company building products for humans in the age of AI. It contributes to World and develops proof-of-human hardware and software, including the Orb, alongside World App services for World ID and digital-asset management.
Projects
About Tools for Humanity
Tools for Humanity is a technology company founded in 2019 and headquartered in San Francisco and Munich. It builds and operates services including World ID App and World App, which provide interfaces for creating and using World ID, accessing Mini Apps, and managing digital assets through a self-custodial wallet. It also develops the Orb and Orb Mini proof-of-human hardware and software, using encrypted iris-imaging processes and open-source components, and leads design and planning for World Spaces.
Skills
About the Role
You will prototype and build mobile proof-of-concept applications to validate computer vision research. You will implement presentation attack detection by leveraging cameras, sensors, displays, and other hardware features. You will integrate native ML models and libraries via FFI, collaborate with ML engineers to translate research into working prototypes, build demonstration apps and data-collection tools, and help deploy mobile solutions that enable secure, high-quality image acquisition.
Requirements
- 2-6 years of mobile development experience, ideally across Android and iOS
- Strong programming experience in Android with Kotlin
- Experience 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
- Experience with Android tools and libraries: Android Studio, Gradle, Git, CameraX, Camera2 API, Android Sensor APIs, Jetpack Compose
- Experience with iOS tools and libraries: Swift, Xcode, AVFoundation, CoreImage, CoreMotion, SwiftUI
- Experience or familiarity with FFI and native integrations (JNI, Swift/Objective-C bridging, C/C++)
- Experience with image processing libraries such as OpenCV and ISP concepts
- Familiarity with mobile ML runtimes like TensorFlow Lite or PyTorch Mobile
- Strong problem-solving skills, technical curiosity, and effective communication with ML teams
Responsibilities
- Prototype and develop mobile proof-of-concept applications
- Implement presentation attack detection using mobile hardware features
- Integrate native computer vision models and libraries via FFI
- Collaborate with ML engineers to translate research into working prototypes
- Build demonstration applications and data collection tools
- Integrate and deploy mobile solutions for image acquisition and fraud detection
Benefits
- Unlimited PTO
- Monthly phone reimbursement or company device
- Daily in-office meals
- Medical insurance
- Dental insurance
- Vision insurance
- Retirement or pension program