Senior ML Engineer, Ads Foundation Modeling
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The role
Lead the design, implementation, and operation of high-performance fraud detection models across publisher, game, and user levels.
Build systems to analyze user behavior, transaction patterns, and contextual signals for fast, accurate fraud detection.
Ensure model quality through continuous monitoring, calibration, and handling data drift or delayed feedback.
Collaborate with team leads to shape the long-term technical vision and oversee project execution.
Communicate complex technical concepts clearly to non-engineering stakeholders.
Requirements: 5+ years of hands-on experience building and operating large-scale detection, monitoring, or risk management systems in ads/payments or related domains; 3+ years in fraud or anomaly detection, user behavior modeling, or risk scoring; strong proficiency in Python, Go, Scala, or C++.
Build systems to analyze user behavior, transaction patterns, and contextual signals for fast, accurate fraud detection.
Ensure model quality through continuous monitoring, calibration, and handling data drift or delayed feedback.
Collaborate with team leads to shape the long-term technical vision and oversee project execution.
Communicate complex technical concepts clearly to non-engineering stakeholders.
Requirements: 5+ years of hands-on experience building and operating large-scale detection, monitoring, or risk management systems in ads/payments or related domains; 3+ years in fraud or anomaly detection, user behavior modeling, or risk scoring; strong proficiency in Python, Go, Scala, or C++.
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