Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world’s fastest-evolving digital threats.
Backed by a16z and Bessemer and trusted by some of the world’s most recognized brands (OpenAI, United Airlines, Coinbase, etc.), Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you.
We're building the AI-native social engineering defense platform.
This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. As an MLE at Doppel, you will
You may be a fit if you:
A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density.
Free lunch and dinner in the office.
Flexible PTO.
Quarterly team offsites.
#J-18808-LjbffrMachine Learning Engineer (Detection, TOR) • Toronto, Ontario, CA
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