Senior / Staff Machine Learning Engineer, Fraud

The role

You will build machine learning-based anti-fraud systems into core Radar products. This includes working on anomaly detection, risk scores, and device fingerprinting using Python, Rust, Airflow, and Spark.

What you will do

• Work on core Radar ML infrastructure built with Python, Rust, Airflow, Spark and new systems you build
• Build new systems for our Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors
• Work on features across several of backend, data infra and ML
• Push the limits of fraud detection using many sensors on iOS and Android
• Have your work run on 300M+ devices
• Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful

Required qualifications

• Experience building machine learning-based fraud detection products in production at scale
• Interest in talking to customers or prospects and making them successful
• Deep curiosity about how things work
• Tenacity to sit with hard problems and power through them

Nice to have

• Former technical co-founder
• Experience with anomaly detection, anti-fraud ML systems

Benefits

• Competitive salary
• Meaningful stock options
• 401(k) plan with 4% match
• New HQ in Flatiron, NYC
• Top-notch equipment
• Catered lunches
• Unlimited PTO
• Health, dental, and vision insurance with 100% coverage for employees
• 12 weeks of paid parental leave
• Commuter and fitness benefits

Before you apply

• Technical recruiter call
• Technical Zoom calls including code screen, coding round, and system design round
• Final round interview at NYC HQ with co-founders and team

About the company

Radar is the global leader in geolocation, providing geofencing SDKs, maps APIs, and AI-enabled solutions. The company processes over 1 billion API calls per day from hundreds of millions of devices.