Algorithm/ Machine Learning Engineer (Abnormal Detection)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities:

• Responsible for the development and algorithm optimization of abnormal detection, root cause analysis and other functions of monitoring products
• Focus on cutting-edge technologies and trends in AiOps field to drive algorithm and product optimization

Requirements:

• More than 5 years working experience
• Good foundation of program development, familiar with Python, Java, Spark, Flink and other distributed computing platforms.
• Familiar with machine learning and deep learning algorithms, such as logistic regression, tree model, ensemble learning, temporal data correlation algorithms ARIMA, LSTM, CNN, etc.
• Familiar with machine learning related development frameworks, such as Numpy, Sklearn, Tensorflow, PyTorch, etc., experience in practical application and optimization of algorithm projects.
• Experience in anomaly detection or root cause analysis related to monitoring products is preferred.
• AiOps related experience is preferred.
• LLM related experience is preferred.

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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