About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace, Upstartpowered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digitalfirst lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.
Upstart is a digitalfirst company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
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 Team:
Upstart’s Machine Learning, Personal Loan Underwriting team is focused on leveraging machine learning to power Upstart’s underwriting models. This team is responsible for building the underwriting model which determines credit decisioning at Upstart. This model plays a central role in Upstart’s overall performance as a company and includes numerous challenging problems to solve.
As a Machine Learning Engineer, PL UW at Upstart, you will collaborate with our Research Scientists, Data Scientists, and other engineering departments. Your work will impact the team in a number of ways:
How you’ll make an impact
Qualifications
Position location This role is available in the following locations: Remote
Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time inperson collaborating via regular onsites. The inperson sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 24 consecutive days at a time.
What youll love:
#LIREMOTE
#LIAssociate
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