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Job Description & How to Apply Below
In this pivotal role, you'll oversee the program lifecycle for ML-based detection systems. Collaborating closely with applied scientists, you will analyze complex abuse patterns, ensuring detection accuracy and systematic improvements. You'll be responsible for managing dataset refresh cycles, translating findings into actionable specifications, and presenting strategic insights to senior leadership.
Key Responsibilities:
• Evaluate ML model performance for brand protection systems
• Manage training dataset refresh cycles across marketplaces
• Conduct comprehensive root cause analysis of false positives
• Translate findings into measurable engineering specifications
• Present recommendations to Directors and VPs on enhancements
Requirements:
• 6+ years of program or project management experience
• Proven ability to use data for improvements
• Experience in end-to-end program strategy
• Familiarity with both tech and non-tech teams
• Strong communication skills with senior leadership
Drive ML system enhancements and protect Amazon's marketplace with your expertise.
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Position Requirements
10+ Years
work experience
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