Binance is hiring a
Web3 Machine learning Engineer ( Risk management)

Location: Asia

Machine learning Engineer ( Risk management)

Asia /
Engineering – Big Data /
Full-time Onsite or Remote
/ Hybrid

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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?

Requirements

    • Universe Risk Management: On Blockchain exchanges, conduct risk and abnormal analysis on the main station
    • User Behaviour and Pattern Analysis: Leverage our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition
    • Digital Data Asset: Obtain Blockchain-based data to perform chain-based data analysis, prediction and recommendations

Responsibilities

    • 5+ years experience in developing Machine Learning models at scale from inception to business impact
    • Deep understanding of modern Machine Learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization, etc
    • Working with Data size from Terabyte to Petabyte scale
    • Good experience with Python, Java and/or Scala, with solid project experiences
    • Excellent communication skills 
    • Experience in Deep Learning is a plus
    • Experience in productionizing Machine Learning model 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

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Location: Asia

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