Staff Machine Learning Engineer

July 27

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Discover the future of investing, built on top of the world’s most trusted crypto trading app, and web3 platform.

Exchange • Blockchain • Futures • API • Technology

1001 - 5000

Description

• Design, develop, and deploy machine learning models to detect and prevent fraudulent activities. • Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. • Optimize existing machine learning systems for performance and scalability. • Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. • Conduct research and implement new machine learning techniques and methodologies. • Mentor junior team members and contribute to knowledge sharing within the team.

Requirements

• At least 5+ years of experience in Machine Learning Engineering. • Proficiency in Python and familiarity with Java. • Solid understanding of common machine learning models, including experience with frameworks like LightGBM and XGBoost. • Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis. • Knowledge of at least one neural network framework, such as TensorFlow. • Experience in building and maintaining data pipelines. • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field. • Strong problem-solving skills and ability to work in a fast-paced environment. • Excellent communication and collaboration skills.

Benefits

• Competitive total compensation package • L&D programs and Education subsidy for employees' growth and development • Various team building programs and company events