Machine Learning Engineer - Fraud Risk

We're a lean and mighty team of passionate builders and veteran founders creating a next-generation payment technology. We're looking for a Machine Learning Engineer - Fraud Risk to architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis. Our fraud risk management team creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience.

Requirements

• 5+ years of experience building ML systems in production
• At least 2+ years in fraud, risk, or anomaly detection domains
• A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
• Proven track record designing and maintaining ML models at scale
• Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling

Benefits

• Unlimited time off
• Flexible working
• Easy to access benefits
• Retirement goals
• Equity plan
• Rain Cards
• Health and Wellness