Founding ML Engineer - Credit Risk & Production

Wholesail; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Wholesail is looking for a founding Machine Learning Engineer (MLE) for the Risk Engineering & Capital Products team in San Francisco. This role involves end-to-end credit risk modeling using unique proprietary data to shape offers and limit risks. You will collaborate closely with product and engineering teams, manage model production, and direct future team growth. The ideal candidate has deep knowledge in supervised learning for production, strong communication skills, and a background in data engineering. Come join a mission-driven team focused on revolutionizing the wholesale trade sector.

Qualifications

• 5+ years of experience building models for production use cases.
• Strong command of supervised learning, feature engineering, and model selection.
• Comfortable owning ETL and feature pipelines against production data.

Responsibilities

• Own credit risk modeling end-to-end, from data pipeline design to production.
• Design, build, and validate credit risk models against proprietary data.
• Work with cross-functional teams to explain models and translate constraints.

Skills

Supervised learning on tabular data

Data engineering skills

Proficiency in Python

Statistical reasoning

Model deployment and monitoring

Excellent communication skills

Team player

Education

BA or BS in Computer Science, Statistics, Mathematics

Tools

Python libraries (pandas, scikit-learn, PyTorch, TensorFlow)

SQL

Job description

Wholesail is looking for a founding Machine Learning Engineer (MLE) for the Risk Engineering & Capital Products team in San Francisco. This role involves end-to-end credit risk modeling using unique proprietary data to shape offers and limit risks. You will collaborate closely with product and engineering teams, manage model production, and direct future team growth. The ideal candidate has deep knowledge in supervised learning for production, strong communication skills, and a background in data engineering. Come join a mission-driven team focused on revolutionizing the wholesale trade sector.