Senior Software Engineer, Machine Learning Platform

OverviewAbout UpstartUpstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while delivering the digital-first lending experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Upstart is a digital-first company; most Upstarters live and work anywhere in the United States, with offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Most Upstarters join because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!The TeamUpstart’s ML Platform team designs and develops the technology and tools that underpin Upstart’s machine learning capabilities. The team supports Upstart’s ML teams in turning research ideas into production models.Senior Software Engineer on the ML Platform team will 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 competitive advantage lies in rapid AI engine innovation.Position DetailsPosition Location - This role is available in the following locations: Remote, San Mateo, Columbus, AustinTime Zone Requirements - This team operates on the East/West Coast time zones.Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.How you’ll make an impactBuild, maintain, and optimize high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the businessDevelop the scaffolding, tooling, and infrastructure that allows research scientists to iterate and train large scale machine learning modelsEnable rapid experimentation and iteration in model training code so that we can continuously improve our modelsBuild the infrastructure that provides research scientists the ability to access the data and features they need to enhance our modelsWork 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)What we’re looking forMinimum requirements5+ years of software engineering experience2+ years of experience building and/or contributing to the advancement of in-house Machine Learning Platforms that enable stakeholders such as modelers or ML-focused ScientistsExperience as a technical lead of mid-large sized teams working on cross-functional projectsExperience building and maintaining backend software services and APIsExperience with big data, ETL, cloud compute, services, containerization, CI/CD, and testing frameworksExperience with some or many of the following: Python, Typescript, interactive notebooks (Jupiter/Databricks), and AWSGood understanding of software development principles and best practices for creating scalable and maintainable systemsPreferred qualificationsFamiliarity with cluster compute architectures (Kubernetes, serverless architectures such as AWS Lambda, Batch), Databricks, and/or Spark ETLExcellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learningStrong sense of ownership and accountability for the quality and timely delivery of workProven ability to effectively analyze and solve complex problemsExcellent written and verbal communication skills with stakeholders, peers and product ownersAbility to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamicsWhat you’ll loveCompetitive Compensation (base + bonus & equity)Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savingsEmployee Stock Purchase Plan (ESPP)Life and disability insuranceGenerous holiday, vacation, sick and safety leaveSupportive parental, family care, and military leave programsAnnual wellness, technology & ergonomic reimbursement programsSocial activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteeringCatered lunches + snacks & drinks when working in officesSalary: United States | Remote - Anticipated Base Salary Range$160,400—$222,000 USDEqual OpportunityUpstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email ://#J-18808-Ljbffr

Created: 2025-10-03