Tech Stack
Responsibilities
- Own the model lifecycle end-to-end from data exploration and feature engineering to training, deployment, and monitoring
- Leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities
- Apply a variety of ML techniques including deep learning, gradient boosting, and causal inference
- Quantify the impact of your work through A/B tests and other statistical methods
- Collaborate closely with product and business leaders to translate models into actionable strategy and features
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
- Parental Leave
Culture
Autonomous TeamsFast-PacedWork-Life BalanceImpact-Oriented
Requirements
Required: B.S., M.S. or Ph.D. Student currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields
Preferred: Graduate degrees (M.S. or Ph.D.) preferred
Regions: Us
Get jobs like this in your inbox
Weekly Git, Python, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Ramp
Industry: fintech
Size: medium
Ramp is building the smart financial infrastructure for modern businesses, automating spend management and payment flows.
View company profile →Compensation
Base salary: $12,500 USD
Similar Jobs
Applied Scientist Intern
Upstart · United States | Remote
Remote
$2k
Data Science Intern
mercor · San Francisco
$10k
Data Science Intern
Faire · San Francisco, CA
Machine Learning Research Intern (Summer 2027)
Scale · New York, NY; San Francisco, CA
$120k
Applied AI/ML Scientist, Intern
Faire · San Francisco, CA