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Software Engineer (credit/ml)
Build the core risk models that determine lending decisions and terms for businesses.
San Francisco, California, United States
Mid-Level
3 months ago
✨ About The Role
- The role involves building core risk models that power Slope's underwriting processes.
- The candidate will be responsible for everything from building pipelines to deploying models in real-time production code.
- They will seek out new data sources and integrate promising APIs into production and training pipelines.
- The job includes scaling and optimizing the underwriting service while maintaining low latency.
- The candidate will also support the improvement of internal tooling used in financial-based and manual underwriting.
⚡ Requirements
- The ideal candidate has 3+ years of experience in Data Engineering or ML Engineering in a production setting.
- They have a strong background in collaborating with data scientists to ship features and models into production.
- Proficiency in Python and JavaScript is essential for this role.
- Experience with the data science stack, including Pandas, Scikit, and Numpy, is required.
- The candidate should be proactive, a fast learner, and willing to work in person at the San Francisco office.
About Slope
The B2B Payments Platform