Machine Learning Engineer, OKX

• The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on
• At least 3-5 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, XGBoost and transformer based language model
• 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 PyTorch, Tensorflow, JAX
• 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
• Familiar with at least one major cloud services, like AWS, CGP, Azure or Alicloud

Desirable

• We are seeking a highly skilled and experienced Senior and Staff Machine Learning Engineers to join our Risk Engineering Team
• 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