Applied Scientist Intern

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. 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 will focus on exciting problems in areas like: credit, fraud, growth, or our core product.

What You’ll Do

• 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

What You Need

• B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must.
• Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization
• Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions
• 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
• 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 Haves

• 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)

Compensation

• The monthly rate for this internship is $12,500 USD + housing stipend

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

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation expense coverage to NYC or SF (if needed)

Canada

• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.