Remote Android Engineer - On-Device AI & Video Apps

Binance; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Remote work

Job summary

Binance is seeking an experienced Android Developer to join the Experience & Connectivity Team. You will build high‑performance Android apps for risk control and identity verification, including on‑device AI and JNI integration, while working remotely.

Requirements: 3+ years of Android development with Kotlin/Java, a Bachelor’s or Master’s in CS/Engineering, and experience with video processing and on‑device inference.

Qualifications

• 3+ years of Android app development with Kotlin/Java.
• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• Proven experience deploying on-device AI models on Android.
• Experience with video processing and real-time frame handling.
• Familiarity with face recognition, liveness, anti-spoofing workflows.

Responsibilities

• Build high-performance Android apps for risk control and identity verification.
• Integrate and optimize on-device AI models and JNI components.
• Develop Android client-side libraries and frameworks to speed up development.
• Collaborate across teams to create hybrid frameworks and on-device inference pipelines.
• Implement user action recognition flows from camera to backend APIs.
• Handle video processing and real-time camera streams on Android.

Skills

Android development

Kotlin

Java

Video processing

On-device AI

JNI

Architecture design

Cross‑platform (JS/TS, React)

Education

Bachelor's or Master's in CS/Engineering

Tools

Jetpack

OkHttp

JNI

C++

Job description

Binance is seeking an experienced Android Developer to join the Experience & Connectivity Team. You will build high‑performance Android apps for risk control and identity verification, including on‑device AI and JNI integration, while working remotely.

Requirements: 3+ years of Android development with Kotlin/Java, a Bachelor’s or Master’s in CS/Engineering, and experience with video processing and on‑device inference.