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Upstart

Runs an AI lending marketplace for consumers

Staff Applied Scientist

Applied Machine LearningPosted on Nov 11
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
  • At least 4 years of experience developing machine learning models or applying advanced statistical methods to complex quantitative problems.
  • Experience leading the technical design and implementation of machine learning solutions used in production environments.
  • Experience applying advanced machine learning methods and statistical evaluation techniques to large-scale datasets.
  • Experience defining technical approaches or architecture for machine learning initiatives involving multiple stakeholders or systems.

Responsibilities

  • Define technical direction for complex machine learning initiatives, translating broad business objectives into scientific strategies and measurable outcomes.
  • Lead the design and evaluation of advanced modeling approaches that address challenging problems in predictive performance, robustness, and scalability.
  • Identify systemic opportunities to improve model development, experimentation, evaluation, and production performance across teams.
  • Partner with scientific, engineering, and business leaders to influence technical priorities and guide decisions involving complex modeling tradeoffs.
  • Establish scientific best practices, provide technical mentorship, and raise the quality and consistency of machine learning work across the organization.

Desired Qualifications

  • An advanced degree, ideally a PhD, in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
  • Knowledge of advanced machine learning techniques, including deep learning, ensemble methods, or probabilistic modeling.
  • Ability to evaluate complex tradeoffs involving predictive performance, interpretability, scalability, and model reliability.
  • Experience establishing modeling frameworks, evaluation standards, or reusable scientific tools adopted across teams.
  • Skills in influencing technical direction, mentoring scientists, and communicating scientific recommendations to senior stakeholders.

About the Company

Upstart

Runs an AI lending marketplace for consumers

Upstart runs an online lending marketplace where banks and credit unions use its AI models to decide which consumers get loans and at what rates. In 2017, it received the first no-action letter issued by the Consumer Financial Protection Bureau, a statement that the regulator had no plans to act against its AI lending model. Borrowers apply through Upstart or a partner lender's website for personal loans, auto loans, home equity lines of credit, and Cash Line, a revolving line of credit. Lenders pay Upstart fees for referring and approving borrowers and for collecting payments, while partner lenders and investment funds put up most of the money lent. Upstart was founded in 2012 and is based in Burlingame, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Burlingame, CA
Founded
2012

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