Senior Software Engineer, Upstart

• 5+ years of software engineering experience
• Experience building and maintaining backend software services and APIs
• Experience with big data, ETL, cloud compute, services, containerization, continuous integration and deployment (CI/CD), and testing frameworks
• Experience with some or many of the following: Python, Typescript, interactive notebooks (Jupyter/Databricks), and AWS
• Good understanding of software development principles and best practices for creating scalable and maintainable systems

Desirable

• Upstart’s ML Platform team is the engineering team responsible for designing and developing the technology and tools that underpin Upstart’s machine learning capabilities
• He team is focused on supporting Upstart’s ML teams in converting research ideas to production models
• As a Senior Software Engineer on the ML Platform team, you’ll be responsible for building an MLOps platform to support machine learning training, process automation, model deployment, and monitoring
• Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly
• Build, maintain, and optimize high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
• Develop the scaffolding, tooling, and infrastructure that allows research scientists to iterate and train large scale machine learning models
• Enable rapid experimentation and iteration in model training code so that we can continuously improve our models
• Build the infrastructure that provides research scientists the ability to access the data and features they need to enhance our models
• Work with Data Engineers, DevOps Engineers, and Research Scientists to ensure that model training and deployment is a repeatable process that relies heavily on automation and workflows (not humans)