Machine Learning Engineer, Underwriting

FloatMe · San Antonio, TX

Posted
23 days ago
Last confirmed live
1 day ago

What this role involves

FloatMe is hiring a senior Machine Learning Engineer to build and own underwriting and decisioning models. The role involves the full modeling lifecycle, from problem formulation to production monitoring, and requires 5+ years of experience in decisioning contexts. The company uses Python, MLflow, SQL, and AWS, and values rigorous, high-impact work in fintech.

Skills this posting asks for

  • python
  • numpy
  • pandas
  • scikit-learn
  • pytorch
  • xgboost
  • lightgbm
  • mlflow
  • sql
  • snowflake
  • github
  • aws
  • looker
  • powerbi
  • tableau
  • claude code
  • cursor
  • copilot
  • probabilistic models
  • calibration
  • experimentation
  • model monitoring
  • underwriting
  • credit risk

Requirements

  • 5 years of experience
  • Level: senior

From the employer’s posting

We're hiring a Machine Learning Engineer to build and own the models behind our underwriting and decisioning systems at FloatMe. Our models determine who gets approved, how much, and under what terms — serving customers across a wide range of profiles. The challenges are real: maintaining calibrati…

Read the full description on FloatMe’s careers page

Apply without filling the form

Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.

Other roles at FloatMe

All 3 roles at FloatMe