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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. We’re deeply embedded in the business and provide a quantitative foundation for decision making. 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. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You'll focus on exciting problems in areas like: credit, fraud, growth, or our core product!
Job Responsibility:
End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring
State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers
Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference
Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods
Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features
Requirements:
M.S. or Ph.D. Student: currently pursuing degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2026 - 2027
Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse)
Practical Experience: track record of curating datasets and building/evaluating ML models
Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative
Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate
Nice to have:
Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field
Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code
Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)
What we offer:
Apple MacBook
Catered lunches in NYC office Monday-Friday
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees