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Own the full ML model lifecycle—from data exploration and feature engineering to training, benchmarking, deployment, and monitoring—while running rigorous experiments and collaborating with product and business partners.
Current B.S./M.S./Ph.D. students in quantitative fields with solid ML fundamentals, Python and SQL skills, experience building and evaluating models, and a strong interest in applying LLMs.
The team’s models underpin critical decisions on credit underwriting, fraud detection, and spend management, directly shaping how Ramp moves billions of dollars for its customers.
Proactive, bias‑for‑action candidates who thrive in ambiguous, fast‑paced environments, enjoy end‑to‑end product development, and can clearly communicate technical insights to both technical and non‑technical stakeholders.
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
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
What You Need
Nice to Haves
Compensation
Ramp Benefits
Benefits available to all full-time Ramp employees (Global)
United States
Canada
United Kingdom
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
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