Remote Android Engineer: On-Device AI & Video Processing

Binance; Hong Kong; Remote; HKD 600,000 - 900,000; Full time

Benefits offered by this job

Remote-first policy

Competitive compensation

Job summary

Binance is seeking an experienced Android Engineer to build and optimize high-performance Android apps for risk control and identity verification. You will deploy on-device AI models, work with cross-functional teams to create hybrid frameworks, and implement on-device inference pipelines, including camera capture and real-time video processing.

The role emphasizes strong Kotlin/Java expertise, Android architecture design, and familiarity with Jetpack, OkHttp, and cross-platform tools.

Qualifications

• 3+ years building Android apps from scratch.
• Proven experience deploying on-device AI models on Android (face recognition, liveness).
• Experience with video processing and real-time frame handling on Android.
• Familiarity with Jetpack, OkHttp, and related frameworks.
• Knowledge of cross-platform technologies such as JavaScript/TypeScript, React; JNI is a plus.

Responsibilities

• Build and optimize high-performance Android applications for risk control and identity verification products.
• Integrate and optimize on-device AI models running locally on Android.
• Develop Android client-side libraries and frameworks to speed up development and improve code quality.
• Collaborate with cross-functional teams to build hybrid frameworks and on-device inference pipelines.
• Implement user action recognition flows: camera capture, on-device preprocessing, backend API calls.
• Handle video processing on Android — real-time frame processing, camera stream management.

Skills

Kotlin/Java

Android Development

On-device AI

Video Processing

Jetpack

OkHttp

JNI

Cross-platform Tech

Education

Bachelor's or Master's in CS/Engineering

Tools

React

C++

Job description

Binance is seeking an experienced Android Engineer to build and optimize high-performance Android apps for risk control and identity verification. You will deploy on-device AI models, work with cross-functional teams to create hybrid frameworks, and implement on-device inference pipelines, including camera capture and real-time video processing.

The role emphasizes strong Kotlin/Java expertise, Android architecture design, and familiarity with Jetpack, OkHttp, and cross-platform tools.