Ramp-posted 3 months ago
Intern
New York, NY

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!

  • 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
  • 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
  • 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)
  • 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 $5,000 per year)
  • WFH stipend to support your home office needs
  • Wellness stipend
  • Parental Leave
  • Relocation support to NYC or SF (as needed)
  • Pet insurance
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