About the role
TL;DR
Research and implement machine learning enhancements for credit underwriting models.
- •Upstart's Unsecured Underwriting Machine Learning team develops and improves models for credit decisions.
- •As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured underwriting model, directly influencing credit decisioning.
- •Key Responsibilities Research machine learning and statistical approaches to improve model performance.
- •Design, implement, and evaluate model enhancements using rigorous experimentation.
- •Analyze model performance and downstream effects to confirm improvements.
- •Partner with engineering teams for technical reviews and deployment.
- •Translate research findings into clear recommendations and production-ready solutions.
- •Requirements Graduate degree in a quantitative field (math, statistics, CS, etc.). 0-2 years of experience in ML, statistical modeling, or quantitative research.
- •Experience developing and evaluating models using Python.
- •Demonstrated knowledge of probability, statistics, and machine learning methods.
- •Experience designing experiments or validation analyses for model assessment.
Required skills
Pythonscikit-learnSQL
Nice-to-have skills
TensorFlowPyTorchNLPComputer VisionLLMsAWSDockerKubernetes
Domain expertise
fintech
Benefits & perks
Competitive Compensation, Bonus, Equity, Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, 401(k) with company match, Employee Stock Purchase Plan, Life Insurance, Disability Insurance, Generous holiday, vacation, sick and safety leave, Parental leave, Family care leave, Military leave, Wellness reimbursement, Technology reimbursement, Ergonomic reimbursement, Social activities, Team events, Onsites, Employee resource groups, Book clubs, Fitness groups, Investing groups, Volunteering groups, Catered lunches, Snacks, Drinks
Tech stack
PythonSQLTensorFlowPyTorchscikit-learnAWSDockerKubernetes