Applied ScientistAmazon
🚨 Bots just outnumbered humans on the internet.
In 2025, automated traffic crossed 51% of all web traffic for the first time in a decade. By mid-2026, global invalid traffic rates hit 40%. And the newest threat? Agentic AI bots they scroll, hesitate, navigate, and transact like real humans. They're not just clicking ads; they're rendering entire behavioral detection models obsolete. This is the problem my team solves at Amazon Ads Traffic Quality.
We process billions of ad events daily, building ML systems at petabyte scale to protect hundreds of millions in advertiser spend. Our work spans deep learning, generative modeling, self-supervised learning, and anomaly detection and we publish at NeurIPS, AAAI, and AdKDD. The adversaries are getting smarter. We need to be smarter, faster.
I'm hiring two Applied Scientist roles in Bengaluru:
Applied Scientist — Job ID: https://lnkd.in/dd_R9_uM
Senior Applied Scientist — Job ID: https://lnkd.in/dZJ5Hait
If you want to fight the next generation of ad fraud with cutting-edge science at internet scale, DM me or apply below
#Hiring #MachineLearning #AdFraud #AgenticAI #DeepLearning #AmazonAds #Bengaluru #AppliedScience #TrafficQuality
tal saysbuild petabyte-scale ml systems to combat ad fraud and agentic bots at amazon ads
ai-ml
mid
Bangalore
public
deep learningmachine learninganomaly detection
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