Mobile Engineer
Tools for Humanity is a technology company building products for humans in the age of AI.
Maintainer signals as of 9/2/2026
About Tools for Humanity
Tools for Humanity develops hardware, software, and services connected to World, described as an open-source real-human network. Its products include the Orb for privacy-focused proof-of-human verification, World App for World ID access, digital asset management, wallet functionality, transactions, and Mini Apps, and World Spaces for verification, community programming, and events. The company serves end users and organizations seeking to integrate World infrastructure into their projects.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Prototype and build mobile proof-of-concept applications for computer vision research, implement presentation attack detection using mobile hardware, integrate native ML models and libraries through FFI, collaborate with ML engineers, build demonstration and data-collection tools, and deploy mobile solutions for secure image acquisition.
Requirements
- 2-6 years of mobile development experience across Android and iOS
- Strong Android programming experience with Kotlin
- Experience with native mobile APIs and system-level features
- Experience with camera APIs and mobile sensor integration
- Understanding of mobile development best practices and architecture patterns
- Experience with Android tools and libraries including Android Studio, Gradle, Git, CameraX, Camera2, Android Sensor APIs, and Jetpack Compose
- Experience with iOS tools and libraries including Swift, Xcode, AVFoundation, CoreImage, CoreMotion, and SwiftUI
- Experience or familiarity with FFI and native integrations such as JNI, Swift/Objective-C bridging, and C/C++
- Experience with image processing libraries such as OpenCV and ISP concepts
- Familiarity with TensorFlow Lite or PyTorch Mobile
- Strong problem-solving, technical curiosity, and communication skills
Responsibilities
- Prototype and develop mobile proof-of-concept applications
- Implement presentation attack detection using cameras, displays, sensors, and actuators
- Integrate computer vision models and libraries through FFI
- Collaborate with ML engineers to translate research into prototypes
- Build demonstration applications and data-collection tools
- 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
- Competitive long-term incentive package
- Potential variable compensation
