Upstart is looking to leverage machine learning to power its underwriting models and improve credit decisioning.
Requirements
- Experience in Python
- Experience with Machine Learning
- Phd in a quantitative field with 0+ years of relevant experience
- Masters in a quantitative field with 2+years of relevant experience
- Bachelors in a quantitative field with 4+years of relevant experience
Responsibilities
- Build repeatable workflows and automation that enables scientists to spend more time on high leverage tasks
- Discover and develop a short and long-term roadmap of engineering improvements on the PL UW team
- Explore new algorithms and methodologies for machine learning models
- Interface cross-functionally with other engineering teams to provide feedback and requirements
- Design and implement code and algorithms to help improve model’s predictive power
- Increase ML productivity through better software and infrastructure
- Improve how we research, train, deploy, serve and monitor our models
Other
- Education and Experience
- Travel requirements: occasional in-person collaboration via regular onsites
- Competitive Compensation (base + bonus & equity)
- Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
- 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
