Upstart is the leading AI lending platform partnering with banks to expand access to affordable credit. In 2019, Forbes ranked Upstart #12 on its list of "most promising AI companies in America."
By leveraging Upstart's AI platform, Upstart-powered banks can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Upstart is based in San Mateo, California and Columbus, Ohio.
Most Upstarters join us 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 Role:
We are looking for an experienced Machine Learning Engineer who enjoys working in a very fast-paced environment. Our Data Science and Engineering teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. Underwriting more accurately and using variables no other lender considers allow us to give people fair rates they deserve. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions.
Hiring Profile:
- 2+ years of professional experience as a data scientist, machine learning engineer, or software engineer
- Experience in productionalizing, deploying, and training machine learning models (we use Python and sklearn, but experience in any language is valuable)
- Interest in helping other data scientists improve code quality in addition to conducting independent analyses
- Experience optimizing models for memory and speed
- Knowledge of machine learning and statistics or a strong desire to learn
Applying to a role on the Data Science team at Upstart:
Please apply to the one position that is the best fit with your skills. When applying, please know we consider candidates for all levels of Data Science roles, so there is no need to apply to multiple positions.