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Upstart

Senior Software Engineer, Machine Learning Platform

Upstart, Austin, Texas, us, 78716

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Overview

About Upstart Upstart 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 Team

Upstart’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 Details

Position Location -

This role is available in the following locations: Remote, San Mateo, Columbus, Austin Time 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 impact

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) What we’re looking for

Minimum requirements

5+ years of software engineering experience 2+ 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 Scientists Experience as a technical lead of mid-large sized teams working on cross-functional projects Experience building and maintaining backend software services and APIs Experience with big data, ETL, cloud compute, services, containerization, CI/CD, and testing frameworks Experience with some or many of the following: Python, Typescript, interactive notebooks (Jupiter/Databricks), and AWS Good understanding of software development principles and best practices for creating scalable and maintainable systems

Preferred qualifications

Familiarity with cluster compute architectures (Kubernetes, serverless architectures such as AWS Lambda, Batch), Databricks, and/or Spark ETL Excellent quantitative reasoning skills with interest in working at the intersection of engineering and machine learning Strong sense of ownership and accountability for the quality and timely delivery of work Proven ability to effectively analyze and solve complex problems Excellent written and verbal communication skills with stakeholders, peers and product owners Ability to thrive both in self-directed work environments and in collaborative settings, contributing positively to team dynamics

What you’ll love

Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering Catered lunches + snacks & drinks when working in offices Salary: United States | Remote - Anticipated Base Salary Range $160,400—$222,000 USD Equal Opportunity

Upstart 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 candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

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