Job Description
Job Overview
Upstart is a leading AI lending marketplace that partners with banks and credit unions to enhance access to affordable credit. The Machine Learning team at Upstart plays a crucial role in building and evaluating core production models. The ML Research Scientist will be part of the Fairness and Explainability team, focusing on ensuring fair lending compliance and researching methodologies to explain complex machine learning models, evaluate fairness, and mitigate disparities.
Technical Requirements
Required Skills
- • Programming skills in Python
- • Expertise in statistical modeling or machine learning
- • Proficiency in mathematical and statistical learning concepts
Preferred Skills
- • Experience in ML explainability or fairness
Experience Level
Master's degree in a quantitative field; Ph.D. preferred
Responsibilities
- • Research and implement methodologies for explaining complex machine learning models
- • Evaluate fairness in lending models and mitigate fairness disparities
- • Convert ideas into testable hypotheses and actionable steps
- • Proactively communicate technical results to stakeholders
Benefits & Perks
- • Competitive compensation (base + bonus & equity)
- • Comprehensive medical, dental, and vision coverage
- • 401(k) with 100% company match
- • Employee Stock Purchase Plan (ESPP)
- • Life and disability insurance
- • Generous holiday, vacation, sick and safety leave
- • Annual wellness, technology & ergonomic reimbursement programs
- • Catered lunches + snacks & drinks when working in offices
Additional Information
- Location
-
Remote - United States
- Type
-
Full-time
- Compensation
-
$126,400—$175,000 USD