Machine Learning Engineer

You will optimize our pricing model to significantly reduce infrastructure costs while maintaining and improving its accuracy especially for high value cards. Iterate on our underwriting model to maximize cash advance disbursements while maintaining target risk thresholds and default rates. You will lead the full ML lifecycle from model training and feature generation to production deployment and monitoring. You will collaborate closely with our Expert Pricers to become a domain expert in the trading card market and inform model improvements. You will design and execute experiments and backtesting to discover and validate new features that improve the model's predictive power. You will own the model's AWS infrastructure, writing code for our pricing API to ensure the model can serve at scale and with low latency.