Backed by Accel.
About the role
We're looking for Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who has built ML based fraud detection models, leveraged in a risk based rules engine. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by driving impact to products and customers by building end-to-end features that leverage machine learning to prevent fraud.
More about this role
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
We were recently named a top 10 best place to work in NYC by Crain's.
Despite our growth and scale, we're still just getting started. That's where you come in.
We're looking for Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who has built ML based fraud detection models, leveraged in a risk based rules engine. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by...
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