Senior/Staff Machine Learning Engineer, Fraud

About the Company

Radar is the global leader in geolocation, providing geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams. Trusted by high-growth startups and Fortune 500 companies, Radar processes over 1 billion API calls per day.

Responsibilities

• Work on core Radar ML infrastructure built with Python, Rust, Airflow, and Spark
• Build new systems for Fraud products including anomaly detection, risk scores, and device fingerprinting
• Develop features across backend, data infrastructure, and machine learning stacks
• Push the limits of fraud detection using sensors on iOS and Android
• Engage with customers and prospects to incorporate feedback into product development

Requirements

• Experience building machine learning based fraud detection products in production at scale
• Interest in customer-facing activities and driving customer success
• Deep curiosity and tenacity for solving complex technical problems

Preferred Qualifications

• Experience as a former technical co-founder
• Expertise in anomaly detection and anti-fraud ML systems

Benefits

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