Machine Learning Engineer

4 weeks ago


Miami, United States The Learning Experience #328 Full time

SHIELD, a device-first risk AI platform, aims to eliminate fake accounts and stop fraudulent activities by identifying the root of fraud using SHIELD Device ID and actionable risk intelligence. As a Machine Learning Engineer (Risk), responsibilities include developing machine learning solutions to solve complex problems, designing algorithms, analyzing large datasets, and contributing to the system's other aspects such as software performance and stability. The role involves exploring new technologies and advancing fraud detection solutions. Opportunities are provided to engage deeply with machine learning lifecycle, from algorithm development to data structure and pattern detection.

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SHIELD is a device-first risk intelligence company. We are dedicated to helping organizations worldwide eliminate fake accounts and all malicious activity. Leveraging AI, we identify the root of fraud with the SHIELD Device ID and provide actionable risk intelligence in real time, helping all online businesses stop fraud, build trust, and drive growth. With offices in San Francisco, Miami, London, Berlin, 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.

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