ML Engineer

Job Summary

Joining a dynamic team, the full-time ML Engineer will build and deploy machine learning models to detect suspicious activity, improve verification accuracy, and enhance data quality in a remote environment.

Key responsibilities

• Build and deploy models for classification, anomaly detection, and other approaches to flag suspicious behavior
• Own ML pipelines end-to-end, including feature generation, training, evaluation, and inference
• Collaborate with product and engineering teams to integrate intelligence into user-facing workflows

Required qualifications

• 4+ years of experience building software ML systems in production
• Experience in fraud, abuse, trust & safety, risk, or security analytics
• Familiarity with modern ML/DS workflows, including experimentation and model deployment
• Comfortable working with data pipelines and addressing messy real-world data issues
• Strong focus on reliability and safety in machine learning systems