Description
Compensation
The monthly rate for this internship is $12,500 USD.
About the Role
The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions.
What You’ll Do
- Own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
- Leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
- Apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
- Quantify the impact of your work through A/B tests and other statistical methods
- Partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features
What You Need
- Currently pursuing a B.S., M.S., or Ph.D. in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029
- Solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
- Curiosity and drive to integrate cutting-edge LLMs and agents into applied solutions
- Good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
- Experience wrangling data in a modern data warehouse (e.g., Snowflake, BigQuery, Redshift, Clickhouse)
- Track record of curating datasets and building/evaluating ML models
- Ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
- Comfort with ambiguity and desire to ship solutions quickly then iterate
Nice to Haves
- Relevant experience applying AI/ML and demonstrating your passion for the field
- Knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code
- Experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)
Ramp Benefits
- Apple MacBook
- Catered lunches in NYC office Monday-Friday
- Weekly coffee stipend
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend