Staff Machine Learning Engineer

• 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. • Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring. • Collaborate closely with our Expert Pricers to become a domain expert in the trading card market and inform model improvements. • Design and execute experiments and backtesting to discover and validate new features that improve the model's predictive power. • Own the model's AWS infrastructure, writing code for our pricing API to ensure the model can serve at scale and with low latency. • This is a perfect fit if you... • Are passionate about trading cards or a similar alternative asset class, with a desire to go deep on the domain. • Are a hands-on individual contributor who thrives in a zero-to-one startup environment. • Want to own a business-critical system and have the opportunity to build a team around you. • Are pragmatic and prefer to build a solution to a problem, not replace an entire system just for the sake of it. • Are highly curious with a strong desire to learn.