Android Engineer - Camera & Video / Image Recognition
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Key skills for this role
About the Role
Binance seeks an Android developer with deep expertise in camera, video, and image recognition to design and optimize on-device capabilities. You will handle Android fragmentation, performance optimization, and collaborate with cross-functional teams to deliver end-to-end pipelines.
Key Skills for This Role
Responsibilities
- Design, develop, and continuously optimize Android side camera, video, and image recognition related products
- Handle Android ecosystem fragmentation and low end device adaptation, optimizing performance, memory, and stability
- Design and implement on device capture workflows ensuring stability and compatibility
- Build on device environment detection and adaptation capabilities
- Collaborate with Product, Backend, Algorithm, and other teams to deliver the full on device pipeline end to end
- Participate in technical design reviews, code reviews, on device engineering practices, and troubleshooting of critical issues
Requirements
- Strong Android engineering fundamentals with deep expertise in Camera2/CameraX image capture and processing
- Deep understanding of Android system level mechanics including Activity/Fragment lifecycle, Handler, JNI/NDK, multithreading, and memory management
- On device vision or algorithm engineering capability
- Strong analytical and troubleshooting skills
- Experience with camera capture, video streaming, image recognition, or computer vision projects
- Familiarity with on device vision technologies (object detection, feature point extraction, image quality assessment, model inference)
- Experience integrating or benchmarking against major image recognition services
- Backend development experience (Java/Go/Python/Node.js) is a plus
- Good communication skills and ability to drive cross functional collaboration
Full Job Posting
What We're Looking For
- We're seeking an Android developer who can deliver high quality, reliable mobile applications while having a strong understanding of camera and image recognition use cases.
- The ideal candidate is able to balance user experience, application performance, and technical stability.
- Familiarity with backend systems and machine learning or computer vision workflows is a strong advantage.
Responsibilities
- Design, develop, and continuously optimize Android side camera, video, and image recognition related products; participate in building and iterating on device capabilities.
- Handle Android ecosystem fragmentation and low end device adaptation, optimizing performance, memory, and stability to ensure reliable operation across diverse devices.
- Design and implement on device capture workflows, ensuring stability and compatibility.
- Build on device environment detection and adaption capabilities.
- Collaborate with Product, Backend, Algorithm, and other teams to deliver the full on device pipeline end to end.
- Participate in technical design reviews, code reviews, on device engineering practices, and troubleshooting of critical issues.
Requirements
- Strong Android engineering fundamentals, with deep expertise in Camera2 / CameraX image capture and processing, performance/memory optimization, and low end device adaptation.
- Deep understanding of Android system level mechanics, including Activity/Fragment lifecycle, Handler mechanism, JNI / NDK, multithreading concurrency, and memory management.
- On device vision or algorithm engineering capability — able to transform raw algorithm/model output into stable, explainable business decisions.
- Strong analytical and troubleshooting skills, with the ability to independently diagnose production issues, compatibility problems, performance bottlenecks, and complex interaction issues.
- Experience with camera capture, video streaming, image recognition, computer vision, or related projects is highly preferred.
- Familiarity with on device vision technologies (object detection, feature point extraction, image quality assessment, model inference workflows, etc.) is a plus.
- Experience integrating or benchmarking against major image recognition services is highly preferred.
- Backend development experience is a plus (Java / Go / Python / Node.js), with understanding of API design, authentication, and server side data flows.
- Good communication skills, ownership, and the ability to drive cross functional collaboration to resolution.
Nice to have
- Experience in finance, payments, or related domains.
- Experience with on device AI / model deployment / inference optimization.
- Experience building camera / video / image recognition on device capabilities.
Why Binance
- Shape the future with the world’s leading blockchain ecosystem.
- Collaborate with world class talent in a user centric global organization with a flat structure.
- Tackle unique, fast paced projects with autonomy in an innovative environment.
- Thrive in a results driven workplace with opportunities for career growth and continuous learning.
- Competitive salary and company benefits.
- Work from home arrangement (the arrangement may vary depending on the work nature of the business team).
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