Join Ramp as an Applied Science intern to develop machine-learning solutions that enhance financial operations for over 50,000 businesses.
Your Role
Here’s what you will be doing:
- Own the end-to-end machine learning model lifecycle including data exploration, feature engineering, training, benchmarking, deployment, and monitoring
- Leverage state-of-the-art AI, including Large Language Models (LLMs), to solve novel problems and create new product capabilities
- Apply versatile techniques such as deep learning, gradient boosting, and causal inference to appropriate problems
- Conduct rigorous experimentation using A/B tests and statistical methods to quantify impact
- Collaborate closely with engineers, product managers, and business stakeholders to translate models and insights into actionable strategies and user-facing features
About You
The company is looking for:
- Current M.S. or Ph.D. student in Data Science, Computer Science, Math, Physics, Economics, Statistics, or related quantitative fields, graduating between Dec 2026 - 2027
- Strong fundamentals in machine learning, statistics, probability, and optimization
- Proficiency in Python and common data science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.)
- Experience with SQL and data wrangling in modern data warehouses (e.g., Snowflake, BigQuery, Redshift, Clickhouse)
- Practical experience curating datasets and building/evaluating ML models
- Interest or experience with AI, particularly integrating cutting-edge LLMs and agents into applied solutions
- Strong communication skills to explain complex concepts to technical and non-technical audiences and build data-driven narratives
- Bias for action with comfort in ambiguity and a desire to ship solutions quickly and iterate
Nice to haves include publications, projects, or previous AI/ML experience, production ML mindset including version control and testing, and experience with data orchestration platforms (Airflow, Dagster, Prefect, Metaflow).
Compensation & Benefits
- Monthly internship compensation: $11,375 USD plus $10,000 housing stipend
- Apple MacBook provided
- Catered lunches in NYC office Monday-Friday
- Weekly coffee stipend
- For U.S.-based full-time employees: 100% medical, dental & vision insurance coverage for employee, partial coverage for dependents
- One Medical annual membership
- 401k with employer match
- Flexible PTO
- Fertility HRA up to $10,000 per year
- Parental leave
- Pet insurance
- Centralized home-office equipment ordering
- Health and wellness stipend
- In-office perks including lunch, snacks, drinks, and more
- Budget for intra-office travel
- Relocation support to NYC or SF as needed
This job may close before the stated closing date, you are encouraged to apply as soon as possible
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