Top Software Engineer Jobs in Austin, TX
As a Software Engineer on the Core Pricing team, you'll implement and maintain features managing the pricing process, ensuring accurate conversion of ML underwriting models to risk and profitability measures, and develop new pricing features to enhance borrower conversion and profitability.
As a Senior Site Reliability Engineer, you'll enhance the reliability and observability of Upstart's production systems. This includes implementing monitoring standards, automating processes, and improving incident response practices while mentoring other team members.
As a Senior Software Engineer on Upstart’s API Enablement team, you will design and implement robust API solutions, establish best practices, collaborate on requirements, mentor junior engineers, and contribute to quality improvements. Your role is critical in developing scalability solutions and enhancing data access across systems.
As a Senior Software Engineer, you will lead projects while collaborating with cross-functional teams to enhance Upstart's auto refinance and secured loans products. You'll focus on architectural decisions, proposing improvements, and solving complex problems with a full stack approach, ensuring quality and maintainability.
As a Software Engineer on the Home Lending Growth team at Upstart, you will enhance the home equity line of credit product. Collaborating with a PM, marketer, ML specialist, and analyst, you'll develop features for email, SMS, web, and partner sites. Your work will impact product reach, leveraging technologies like Ruby, Kotlin, React, and AWS.
As a Senior Software Engineer in Growth Pricing at Upstart, you will develop machine learning models for pricing optimization, enhance the Frozen Rates feature, address scalability challenges, and maintain a healthy codebase while collaborating with cross-functional teams on strategic initiatives.
As a Senior Software Engineer on the ML Platform team, you will develop and maintain the MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Your role focuses on optimizing software applications, building infrastructure for model training, and enabling collaboration with data engineers and research scientists.
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