Remote Android Engineer – On-Device AI & Risk Control

Binance; Hong Kong; Remote; HKD 480,000 - 700,000; Full time

Benefits offered by this job

Remote-first

Career growth

Competitive salary

Job summary

Binance is seeking an experienced Android developer for its Experience & Connectivity Team. The role focuses on building high-performance Android apps for risk control and identity verification, deploying on-device AI models, and creating reusable client-side libraries.

The candidate will work with cross-functional teams on hybrid frameworks and on-device inference pipelines. The position is 100% remote, offering a dynamic, fast-paced environment with opportunities for growth and learning.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience building Android applications from scratch.
• Proven experience with on-device AI model deployment on Android.

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 development and improve code quality.
• Collaborate with cross-functional teams to build hybrid frameworks and on-device inference pipelines.
• Implement user action recognition flows and on-device camera preprocessing backend API calls.
• Handle video processing on Android, including real-time frame processing and camera stream management.

Skills

Android development

Kotlin/Java

Jetpack

Face recognition

React

JNI

Education

BSc/BEng or MSc in CS/Engineering

Tools

OkHttp

Jetpack

JNI

React

Job description

Binance is seeking an experienced Android developer for its Experience & Connectivity Team. The role focuses on building high-performance Android apps for risk control and identity verification, deploying on-device AI models, and creating reusable client-side libraries.

The candidate will work with cross-functional teams on hybrid frameworks and on-device inference pipelines. The position is 100% remote, offering a dynamic, fast-paced environment with opportunities for growth and learning.