What's the salary range?

Ramp lists $12,500–$12,500 for this role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Data Science, Large Language Models, Machine Learning, Python, SQL.

What seniority level is this role?

Ramp targets intern candidates for this position.

Is this full-time or contract?

Internship for this Applied Scientist Intern role at Ramp.

Joblaze summary

The Applied Scientist Intern at Ramp engages in the end-to-end lifecycle of machine learning projects, translating complex business challenges into scalable solutions. Key skills include a solid foundation in machine learning, proficiency in Python and SQL, and an interest in applying advanced AI techniques. This role is ideal for graduate students or those with relevant experience in quantitative fields, who are eager to contribute to impactful projects in a fast-paced environment. Ramp's focus on high agency and urgency fosters a culture where interns can make significant contributions.

Joblaze insights

Listed today — first seen on Joblaze October 1, 2026. Last confirmed on Ramp's careers page October 1, 2026.

Quick facts

What's the salary range?: Ramp lists $12,500–$12,500 for this role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Data Science, Large Language Models, Machine Learning, Python, SQL.
What seniority level is this role?: Ramp targets intern candidates for this position.
Is this full-time or contract?: Internship for this Applied Scientist Intern role at Ramp.

From the original posting

The problems are high-stakes, data-dense, and unforgiving.

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

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
Fertility HRA (up to $10,000 per year)
Pet insurance
In-office perks: lunch, snacks, drinks, and more

Canada

Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)

United Kingdom

Private medical insurance through Freedom Elite

Ramp Applicant Privacy Notice

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