Binance
via Lever
Android Developer - Risk Control
Posted 910 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 910d ago
The date the source published, not the day we noticed it (2024-03-19). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Asia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$2,062–3,050/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Asia · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 42d ago · last seen 1h ago
The listing
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;