Android Developer - Risk Control

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Join our Experience & Connectivity Team and be at the forefront of creating innovative platforms and services that connect and engage users and developers. You'll play a crucial role in designing and maintaining the infrastructure that enables seamless interactions and fosters a vibrant community. If you're passionate about building cutting-edge solutions and making a real impact, we invite you to apply and be part of our dynamic and forward-thinking team! **This role is 100% Remote, Work from Home based.** ### Responsibilities 1. Build and optimize high-performance Android applications for risk control and identity verification products; 2. Integrate and optimize on-device AI models — deploy lightweight face recognition / liveness detection models running locally on Android; 3. Develop Android client-side libraries and frameworks to speed up development and improve code quality; 4. Collaborate with cross-functional teams to build hybrid frameworks and on-device inference pipelines; 5. Implement user action recognition flows: camera capture → on-device preprocessing → backend API calls; 6. Handle video processing on Android — real-time frame processing, camera stream management; ### Requirements 1. 3+ years of experience building Android applications from scratch, high proficiency with Kotlin/Java; 2. Bachelor's or Master's degree in Computer Science, Engineering, or a related field Proven experience with on-device / local AI model deployment on Android — integrating lightweight ML models (face recognition, liveness detection, action recognition) with optimized inference; 3. Experience with video processing on Android — camera capture, real-time frame processing, video stream handling; 4. Familiarity with face recognition / computer vision product development — face detection, liveness, anti-spoofing workflows; 5. Proven experience in Android development, including architecture design, Jetpack, OkHttp, and related frameworks; 6. Familiarity with cross-platform technologies such as JavaScript/TypeScript, React; knowledge of C++ and JNI is a plus;