Machine Learning Engineer - Credit

About this role

Plaid's Data team seeks an experienced Machine Learning Engineer to design and deploy scalable ML solutions for credit underwriting and financial services. You'll own the full model lifecycle from training to production serving, collaborating across teams to build cash flow-based underwriting and drive high-impact fintech applications.

What you'll do

• Design, build, and deploy scalable ML systems for credit use cases in production environments
• Experiment with state-of-the-art modeling techniques including NLP, anomaly detection, and time series forecasting
• Own machine learning models across full lifecycle: offline training, online serving, and monitoring
• Collaborate with engineers on signal ingestion and model productionization
• Work on both early-stage (0-1) and scaling problems (1-10) across the credit space
• Define ML roadmap with cross-functional teams using data-driven decision-making

What they're looking for

• Machine learning model development and deployment
• Python and Spark programming
• Fintech lending domain knowledge
• Distributed systems and data-intensive backend applications
• NLP, anomaly detection, and time series forecasting
• Model monitoring and online serving
• Data analysis and experimentation
• Cross-functional collaboration and communication