Data Scientist - Computer Vision (Risk Management)

Singapore /
Engineering – Big Data /
Full-time Onsite or Remote
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.

You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.

Responsibilities

    • Develop CV/ML models and algorithms for solving KYC and other general image tasks
    • Conduct cutting-edge research for improving performance and efficiency of current solutions
    • Collaborate with backend engineer, strategist, and reviewer to build up the whole service pipeline

Requirements

    • B.E/M.E in Computer Science, Applied Mathematics, or a related areas
    • Experience and exposure on Advanced Computer Vision, Image recognition, retrieval, detection, synthesis, OCR and etc.
    • Solid experiences in Python and SQL
    • Self-driven, innovative, collaborative, with good communication and presentation skills
    • Knowledge of KYC process is a plus
Working at Binance
Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
Fast moving, challenging and unique business problems
International work environment and flat organisation
Great career development opportunities in a growing company
Possibility for relocation and international transfers mid-career
Competitive salary
Flexible working hours, Casual work attire