Senior Software Engineer
ML Platform Infrastructure
Confirmed live in the last 24 hours
Upstart

1,001-5,000 employees

AI lending marketplace connecting consumers to banks
Company Overview
Upstart, a leading AI lending marketplace, offers a unique work environment that emphasizes digital-first operations, allowing employees to work from anywhere in the U.S. The company's AI models and cloud applications provide a competitive edge by enabling lenders to approve more borrowers at lower rates, resulting in an 80% instant approval rate. Upstart's commitment to improving credit accessibility, demonstrated through their diverse loan offerings, positions them as an industry leader in the financial technology sector.
Data & Analytics
AI & Machine Learning
Financial Services

Company Stage

Series D

Total Funding

$244.1M

Founded

2012

Headquarters

San Mateo, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

5%
Locations
Austin, TX, USA • San Mateo, CA, USA • Remote in USA • Columbus, OH, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kotlin
Kubernetes
Python
Jupyter
AWS
CategoriesNew
Backend Engineering
Software Engineering
Requirements
  • 5+ years of backend software engineering experience
  • Experience building and maintaining backend software services and APIs
  • Experience with cloud compute, services, containerization, continuous integration and deployment (CI/CD) and testing frameworks
  • Experience with some or many of the following: Python, Kotlin, interactive notebooks (e.g. Jupyter), AWS, Kubernetes
  • Good understanding of software development principles and best practices for creating scalable and maintainable systems
Responsibilities
  • Build, maintain, and monitor high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
  • Develop the scaffolding and infrastructure that allows research scientists to more rapidly iterate and train large scale machine learning models
  • Enable new data and capabilities for machine learning research and simulation to uplevel production model performance
  • Work with data engineers, research scientists, and other software engineers on cross-functional efforts to improve how machine learning models are trained and experimented on