Upstart
Applied Scientist Intern
$141K–$150K
United States +2 · Remote · Internship · Posted Sep 18, 2026
- Location
- United States
Remote
Remote - Education
- Bachelor’s, master’s, or PhD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field; on track to graduate by 2028.
About the job
Conduct machine learning and statistical research, analyze model performance, and develop validated improvements to Upstart’s models, products, and technical systems.
What you'll do
- Research approaches to improve predictive performance or model business value.
- Design, implement, and evaluate enhancements using rigorous experimentation and validation.
- Translate research into recommendations, documented methods, and production-ready solutions; align stakeholders on next steps.
What they ask for
- Bachelor’s, master’s, or PhD degree in a quantitative field; on track to graduate by 2028.
- Strong fundamentals in statistics, probability, and machine learning theory.
- Ability to analyze data and evaluate models using Python, with basic SQL foundations.
- Strong communication and teamwork; ability to use modern agentic tooling efficiently.
Nice to have
- Experience in supervised learning, model evaluation, and feature engineering.
- PhD in a quantitative field, on track to graduate by summer 2028; advanced statistical or econometrics knowledge; strong Python coding skills.
Pay
$141,000 — $150,000 USD (base salary)
Tools
Python, SQL, Claude Code, Codex
AI focus
Research and improve machine learning models, including predictive performance and business value; evaluate models and develop production-ready enhancements. Use modern agentic tooling.
Model-written summary · the original posting is authoritative