Senior/Staff Machine Learning Engineer – Fraud Detection

About the role

Radar is looking for a senior‑level Machine Learning Engineer to design and ship anti‑fraud systems that protect millions of devices worldwide. You will work on core ML infrastructure and build new fraud detection products that run at massive scale.

Key responsibilities

• Develop and maintain ML pipelines using Python, Rust, Airflow, and Spark.
• Build fraud detection models (anomaly detection, risk scoring, device fingerprinting) and integrate them into Radar’s product stack.
• Collaborate with customers to gather feedback and iterate on solutions.
• Participate in on‑call rotation and ensure high reliability of production systems.

Required profile

• Proven experience delivering machine‑learning‑based fraud detection products in production at scale.
• Strong curiosity and persistence for solving hard technical problems.
• Willingness to engage with customers and translate their needs into product improvements.

Required skills

• Python
• Rust
• Airflow
• Spark
• LightGBM and scikit‑learn
• TypeScript/Node.js
• MongoDB, Redis, AWS services (S3, Athena)

What we offer

• Competitive salary and meaningful stock options
• 401(k) with 4% match
• Catered lunches, top‑notch equipment, and a new Flatiron office
• Unlimited PTO, full health coverage, 12 weeks paid parental leave