Mobile Engineer

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.

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

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

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