Senior Machine Learning Engineer (Risk)
SHIELDSingapore, Singapore • Los Angeles, California, United States • London, England, United Kingdom • East Jakarta, Indonesia • Bengaluru, Karnataka, India • Beijing, Beijing, China
Posted July 24, 2023
Full Time
About the Company
SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity. Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in Los Angeles, London, Sao Paulo, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world. For more information, visit shield.com
Job Description
SHIELD is seeking a Senior Machine Learning Engineer to develop and leverage machine learning solutions for fraud detection across the digital world. The role involves analyzing large datasets, identifying patterns, and applying advanced algorithms and data structures. Opportunities for innovation and exploration of new technologies are available.
Requirements
- Minimum 5 years of relevant experience
- Bachelor Degree in Computer Science, Information System with Machine Learning specialization or equivalent
- Strong foundation in database and data scaling
- Experience with various Machine Learning algorithms
- Experience with MySQL, NoSQL and Columnar database
- Experience in C++, C, Python and other programming languages
