Lead ML Engineer
Machinify- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates must have at least 3 years of experience in Data Engineering or ML Engineering within a production environment. They should have worked closely with data scientists to deploy features and models, possess experience in building and maintaining distributed ML infrastructure, and be fluent in Python and Javascript. Proficiency in the data science stack including Pandas, Scikit-learn, and Numpy is required, along with experience in SQL, data warehousing, and ETL processes. Additionally, candidates should have experience in developing internal tools to enhance operational efficiency and be willing to work in person in San Francisco.
The Software Engineer will build core risk models that drive Slope's underwriting processes, determining lending decisions and terms. They will own the entire process from constructing pipelines and writing training loops to deploying models in real-time production code. Responsibilities also include scaling and optimizing the underwriting service for low latency, seeking new data sources for integration, and building infrastructure for data ingestion, model training, and deployment. The engineer will support the enhancement of internal tools used in financial and manual underwriting.
Provides B2B Buy Now, Pay Later solutions
Slope provides Buy Now, Pay Later (BNPL) solutions designed for business-to-business (B2B) transactions, specifically targeting small to medium-sized enterprises (SMEs). Their service allows these businesses to manage their working capital more effectively by offering flexible payment options. When a transaction occurs, Slope charges a 6% merchant fee and pays the merchant immediately after goods are shipped or services are delivered. This process removes the risk of bad debt and the burden of payment collections from the seller, enabling them to concentrate on growth. Slope differentiates itself from competitors by focusing exclusively on B2B transactions, simplifying access to capital for growing businesses and alleviating the financial pressures associated with traditional credit management.