ML + Data Engineer, Slope

• 3+ years in Data Engineering, or ML Engineering in a production setting
• Worked closely with data scientists to ship features and models into production
• Experience building, maintaining, and debugging distributed ML infrastructure
• Fluency in Python and Javascript
• Experience with the DS stack (Pandas, Scikit, Numpy)
• Experience with SQL, data warehousing and ETL
• Experience with building internal tooling to empower coworkers and improve operational efficiency
• Willing to work in person at SF office
• Being proactive and a fast-learner (Slope! ⚡)

Desirable

• You will play a foundational role in building the models and infrastructure powering Slope’s underwriting
• Building the core risk models powering underwriting. The outputs of these models will determine who we lend to, how much we lend, and what terms we offer – our core business activity
• You will own everything from building pipelines & writing training loops to deploying the model to real-time production code
• Scale and optimize our underwriting service while keeping it low latency
• Seeking out new data sources, such as credit bureaus, fraud-detection services, and alternative sources (social media, satellite & street views). Integrating promising APIs into our production & training pipelines
• Building the infrastructure that powers data ingestion, model training, and deployment
• Support the improvement of internal tooling used in financial-based and manual underwriting