Applied Scientist Intern at Ramp in New York, NY

Summary: Ramp is a financial operations platform rethinking how modern finance teams function in the age of AI. As an Applied Science intern, you will work closely with engineers, product managers, and business stakeholders to develop machine-learning-driven solutions that address critical business problems such as fraud and spend management. Responsibilities: - 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 Required Qualifications: - 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 Preferred Qualifications: - 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) Required Skills: Machine Learning Fundamentals, Python Proficiency, SQL Knowledge Important Skills: Data Science Libraries, Statistical Methods Nice-to-Have Skills: Bias For Action, Interest in AI, Production ML Mindset, Data Orchestration, Communication Benefits: 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, Health and Wellness stipend, In-office perks: lunch, snacks, drinks, and more, Budget for intra-office travel, Relocation support to NYC or SF (as needed)