Description:

Build and optimize high-performance Android applications for risk control and identity verification products.
Integrate and optimize on-device AI models for face recognition and liveness detection on Android.
Develop Android client-side libraries and frameworks to enhance development speed and code quality.
Collaborate with cross-functional teams to create hybrid frameworks and on-device inference pipelines.
Implement user action recognition flows involving camera capture and backend API calls.
Handle video processing on Android, including real-time frame processing and camera stream management.

Requirements:

3+ years of experience in building Android applications, with high proficiency in Kotlin/Java.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience with on-device AI model deployment on Android, including lightweight ML models.
Experience with video processing on Android, including camera capture and real-time frame processing.
Familiarity with face recognition and computer vision product development.
Proven experience in Android development, including architecture design and related frameworks.
Familiarity with cross-platform technologies such as JavaScript/TypeScript; knowledge of C++ and JNI is a plus.

Shape the future of finance in a user-centric global organization.
Collaborate with world-class talent in a flat organizational structure.
Tackle challenging projects in a fast-paced, innovative environment with autonomy.
Opportunities for career growth and continuous learning in a results-driven workplace.
Competitive salary and company benefits.
Remote-first, work-from-home arrangement.

Skills