Top Software Engineer Jobs in San Francisco Bay Area, CA
As a Software Engineer on the Core Pricing team, you will implement and maintain features for the pricing process across Upstart's product lines, ensuring conversion of ML underwriting model outputs to measures of risk and profitability while developing new pricing features to enhance borrower conversion.
As a Senior Site Reliability Engineer at Upstart, you will enhance the reliability and performance of our production systems. You'll implement monitoring standards, improve incident response practices, and automate operations to support a high-quality customer experience. This role requires collaboration with teams to enhance system effectiveness.
As a Senior Software Engineer at Upstart, you'll lead projects by collaborating with the engineering team and stakeholders, making architectural decisions, and proposing improvements to software quality and team metrics. You'll work on the full stack and ensure the delivery of high-quality, maintainable software solutions.
As a software engineer on the Home Lending team, you will work on Upstart's home equity line of credit product. Your main responsibility will be to expand the product's reach by collaborating with cross-functional teams and delivering features across various platforms.
The Senior Software Engineer will design and implement robust API solutions using gRPC and API Gateway, lead API Management strategy, mentor junior engineers, and establish best practices for API development and event bus. They will collaborate with cross-functional teams to create an impactful roadmap and improve quality within the team.
As a Senior Software Engineer on the Growth Pricing team, you'll implement features optimizing origination fees, enhance the Frozen Rates feature, and tackle technical challenges. You'll collaborate with product managers and data analysts to drive traffic and revenue through strategic initiatives, leveraging machine learning for dynamic pricing.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
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