Remote ML Engineer II: Production Credit Risk Models

Ladders; USA; Remote; USD 133.000 - 183.000; Vollzeit

Benefits dieser Stelle

100% subsidized medical coverage for 🧑

Monthly tech setup stipend

Flexible time off and holiday calendar

Employee stock purchase plan

Zusammenfassung

Ladders is seeking a Machine Learning Engineer II (ROA + LTV ML) to join the team in a remote US-based capacity. The role focuses on building and scaling ML systems that improve credit decisioning, default prediction, and model performance across the customer lifecycle.

You will partner with engineering and cross-functional stakeholders to turn data into production-ready models with measurable business impact.

Qualifikationen

• 2+ years of experience as a machine learning engineer or a PhD in a relevant field.
• Proficiency in ML techniques including GLMs, Gradient Boosting, and Deep Learning.
• Strong programming skills in Python and data manipulation with SQL.
• Experience with large-scale distributed systems like Spark or Ray.
• Familiarity with open-source tools such as scikit-learn, pandas, and XGBoost.
• Proven track record of developing machine learning models from inception to business impact.
• Excellent communication skills for cross-functional collaboration.
• Strong sense of responsibility and persistence in decision-making processes.

Aufgaben

• Develop machine learning models using proprietary and third-party data to predict default likelihood
• Collaborate with engineering teams to build systems for model training and monitoring
• Research and prototype innovative solutions for credit decisioning
• Implement and scale essential data pipelines and algorithms for production models
• Work with cross-functional teams to define product requirements

Kenntnisse

Python

SQL

Spark

Ray

scikit-learn

pandas

XGBoost

Model deployment

Communication

GLMs

Gradient Boosting

Deep Learning

Distributed systems

Ausbildung

PhD in a relevant field

Tools

scikit-learn

pandas

XGBoost

Spark

Ray

Jobbeschreibung

Ladders is seeking a Machine Learning Engineer II (ROA + LTV ML) to join the team in a remote US-based capacity. The role focuses on building and scaling ML systems that improve credit decisioning, default prediction, and model performance across the customer lifecycle.

You will partner with engineering and cross-functional stakeholders to turn data into production-ready models with measurable business impact.