Machine Learning Engineer II (Underwriting ML)

What you’ll do:

• Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
• Build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed.
• Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.

What we look for:

• You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
• Strong Python skills and experience writing production-quality code.
• Experience building and evaluating models for classification problems (preferably gradient-boosted decision trees).

Benefits:

• Health care coverage with all premiums covered for you and your dependents.
• Flexible Spending Wallets for Technology, Food, Lifestyle, and family forming expenses.
• Competitive vacation and holiday schedules, plus an employee stock purchase plan.