About Upstart
Upstart is a 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 simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated.
Upstart is a digital-first 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
Our team is responsible for building a best-in-class underwriting platform to quickly and accurately create loan offers for all of Upstart’s loan products like Personal Loans, Auto loans and Home loans. The services owned by the team are responsible for validating applicant data, interfacing with Machine Learning models to calculate borrower risk, matching applicants to lenders, and calculating interest rates, fees, etc. We combine ML, econometrics, and software engineering to optimally match capital supply to borrower demand. We are developing new capabilities for Upstart’s loan products and building a next generation software platform to accelerate innovation on behalf of our customers.
As a Distinguished Software Engineer, you are at the helm of driving technical excellence and innovation within the Pricing team. You are responsible for setting the technical vision and direction for Pricing that works backwards from our product strategy. You will lead our efforts to deliver software that uses machine learning to optimize how we price different components and continuously maximizes the efficiency of our borrower-lender marketplace. You will have the opportunity to design and build large scale systems from the ground up, partner closely with ML scientists, and work in a highly-collaborative and fast-paced environment. We are looking for a seasoned leader with a passion for ML, finance, experimentation, and distributed systems. If this sounds exciting, we would love to hear from you.
How you’ll make an impact:
What we’re looking for:
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 in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.
At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).
Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as 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 [email protected]
