Data Scientist - Computer Vision (Risk Management)
About the Company
Binance is a prominent global blockchain ecosystem and cryptocurrency infrastructure provider known for its comprehensive suite of financial products, notably the largest digital-asset exchange. With a core mission to drive cryptocurrency adoption and enhance financial freedom, Binance offers a dynamic, mission-oriented work environment with abundant opportunities for growth and learning.
Role Overview
Join our data-driven organization, where cloud-native technologies empower our team to cater to the needs of millions of cryptocurrency users. As a data scientist at Binance, you will harness substantial data resources and cutting-edge machine learning capabilities to design innovative data products benefiting our extensive user base.
Responsibilities
- Develop innovative computer vision/machine learning models and algorithms emphasizing KYC and image-related tasks
- Conduct groundbreaking research to enhance the performance and efficiency of existing solutions
- Collaborate effectively with backend engineers, strategists, and reviewers to optimize the service pipeline
Requirements
- B.E/M.E in Computer Science, Applied Mathematics, or a related field
- Proficiency in Advanced Computer Vision, Image recognition, OCR, and other related areas
- Strong skills in Python and SQL
- Self-motivated, innovative, team player with exceptional communication abilities
- Familiarity with KYC processes is advantageous
Why Join Binance
- Contribute to the growth of the world's premier blockchain ecosystem
- Engage with an internationally diverse and skilled workforce in an environment that prioritizes learning and development
- Undertake challenging, fast-paced projects in a flat organizational structure
- Enjoy competitive compensation, diverse benefits, flexible work hours, and remote-first culture with a relaxed dress code
Apply now to champion innovations in the Web3 revolution and become part of Binance, an equal-opportunity employer dedicated to fostering diversity and inclusion.
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