Responsibilities
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
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;
Skills Required
- 5-8 years experience building Android applications
- High proficiency with Kotlin and Java
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proven experience in Android engineering and architecture design, including Jetpack and OkHttp
- Familiarity with cross-platform technologies: JavaScript, TypeScript, React
- Strong track record optimizing Android app performance: networking, rendering, memory usage
- In-depth knowledge of full mobile development lifecycle (design to deployment)
- Hands-on experience in performance monitoring and profiling tools
- Excellent problem-solving and communication skills; ability to work in international teams
- Knowledge of C++ and JNI
- Experience with Hotfix framework development
- Expertise in performance metrics: App Cold Start, App Start, Memory, App Size, LCP, ANR, OOM
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com








