Algorithm/ Machine Learning Engineer (Abnormal Detection)
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- Brunei Darussalam
- Posted
Develop and optimize abnormal detection algorithms using Python, Java, Spark, Flink, and machine learning frameworks.
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Algorithm/ Machine Learning Engineer (Abnormal Detection)
Binance
Job Location
Brunei DarussalamCambodiaGeorgiaJapanArmeniaAzerbaijanBahrainBangladeshBhutanCyprusJordanKorea (South)KuwaitMalaysiaMaldivesNepalPakistanTaiwan, Republic of ChinaTajikistanLao PDRLebanonPhilippinesQatarSri LankaThailandTimor-LesteOmanMongoliaSyrian Arab Republic (Syria)TurkeyUnited Arab EmiratesViet NamAfghanistanChinaKyrgyzstanMyanmarSingaporeTurkmenistanYemenKazakhstanPalestinian TerritoryRussian FederationUzbekistanSaudi ArabiaIndiaIndonesiaIran, Islamic Republic ofIraqIsrael
Job Summary
Job Description: Algorithm/Machine Learning Engineer (Abnormal Detection) at Binance. Responsible for developing and optimizing abnormal detection algorithms, with experience in Python, Java, Spark, Flink, machine learning, deep learning, and AiOps. Collaborate with world-class talent in a user-centric global organization. Competitive salary and company benefits. Work-from-home arrangement available.
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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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