Fraud Detection ML Engineer

Job Summary

To ensure the integrity of human data, the full-time remote Fraud Detection ML Engineer will develop and implement advanced machine learning systems for AI-generated content detection, duplicate fingerprinting, and copyright risk assessment.

Key responsibilities

• Build and maintain systems for AI-generated image and video detection, as well as reverse image search capabilities
• Develop algorithms for duplicate fingerprinting and copyright risk detection to filter out non-authentic data
• Implement human-in-the-loop verification pipelines and fraud network clustering systems for enhanced data quality

Required qualifications

• 3+ years of experience in computer vision and machine learning using frameworks such as PyTorch or TensorFlow
• Proven experience in production ML deployment and backend system development
• Strong proficiency in SQL and PostgreSQL, with experience in vector search technologies
• Familiarity with image processing libraries like OpenCV and PIL
• Comfortable working with TypeScript/Deno or similar backend technologies