Android Developer - Risk Control

Accountabilities Build, develop, and optimize high-performance Android applications focused on risk control and identity verification solutions.

Integrate and deploy lightweight AI models directly on Android devices, including face recognition, liveness detection, and user action recognition technologies.

Design and maintain Android client-side libraries and frameworks to improve development efficiency, scalability, and code quality.

Collaborate with engineering teams to develop hybrid frameworks and optimize on-device inference pipelines.

Implement user verification workflows, including camera capture, on-device preprocessing, and backend API communication.

Develop and optimize real-time video processing capabilities, including camera stream management and frame analysis.

Contribute to Android architecture decisions and improve application performance, reliability, and maintainability.

Work closely with product, backend, and security teams to deliver secure and seamless user experiences.

Continuously evaluate and adopt modern mobile development practices to improve technical solutions.

Requirements

3+ years of professional experience developing Android applications from scratch.

Strong proficiency in Kotlin and Java, with solid understanding of Android development principles.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Proven experience deploying and optimizing on-device AI or machine learning models on Android platforms.

Hands-on experience integrating lightweight ML models for applications such as face recognition, liveness detection, or action recognition.

Strong knowledge of Android video processing, including camera capture, real-time frame processing, and video stream handling.

Experience developing computer vision-based products, including face detection, anti-spoofing, and identity verification workflows.

Strong understanding of Android architecture, Jetpack components, OkHttp, and related mobile development frameworks.

Familiarity with cross-platform technologies such as JavaScript, TypeScript, or React is a plus.

Knowledge of C++ and JNI is considered an advantage.

Strong problem-solving skills, ability to work independently, and experience collaborating with distributed teams.

Benefits

Fully remote work-from-home arrangement.

Opportunity to work on innovative mobile solutions within a global technology environment.

Competitive salary and comprehensive benefits package.

Exposure to advanced technologies including artificial intelligence, blockchain, and mobile security solutions.

Opportunity to collaborate with highly skilled engineers across international teams.

Fast-paced environment with autonomy and ownership over impactful projects.

Continuous learning and career development opportunities.

Inclusive and diverse workplace culture focused on innovation and collaboration.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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