
Android Developer - Risk Control
Binance
๐ง๐ฉ Bangladesh | ๐จ๐ณ China | ๐ฎ๐ฉ Indonesia | ๐ฎ๐ณ India | ๐ฎ๐ท Iran | ๐ฏ๐ด Jordan | ๐ฏ๐ต Japan | ๐ฐ๐ท South Korea | ๐ฐ๐ฟ Kazakhstan | ๐ฑ๐ฆ Laos | ๐ฑ๐ง Lebanon | ๐ฑ๐ฐ Sri Lanka | ๐ฒ๐ฒ Myanmar | ๐ฒ๐ป Maldives | ๐ฒ๐พ Malaysia | ๐ณ๐ต Nepal | ๐ด๐ฒ Oman | ๐ต๐ญ Philippines | ๐ต๐ฐ Pakistan | ๐ธ๐ฌ Singapore | ๐น๐ญ Thailand | ๐น๐ท Turkey | ๐น๐ผ Taiwan | ๐ป๐ณ Vietnam | ๐พ๐ช Yemen
Remote
30 months ago
- Android
- AI
- Kotlin
- Java
- Computer Vision
- Jetpack
- OkHttp
- JavaScript
- TypeScript
- React.js
- C++
30 months ago
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!ย 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 โ 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 โ on-device preprocessing โ backend API calls;
6. Handle video processing on Android โ 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 โ integrating lightweight ML models (face recognition, liveness detection, action recognition) with optimized inference;
3. Experience with video processing on Android โ camera capture, real-time frame processing, video stream handling;
4. Familiarity with face recognition / computer vision product development โ 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;
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Android Developer - Risk Control ยท Binance